WO2024164523A1 - Internet-of-vehicles encryption communication method and apparatus, and electronic device and storage medium - Google Patents

Abstract

Provided in the embodiments of the present application are an Internet-of-Vehicles encryption communication method and apparatus, and an electronic device and a storage medium. The method comprises: sending first communication data to a second terminal according to a preset communication protocol, and receiving second communication data sent by the second terminal; determining parameter information of a filter according to the second communication data; constructing the filter on the basis of the parameter information; inputting the second communication data into the filter to obtain predicted communication data; generating a first key on the basis of the predicted communication data; using the first key to encrypt target information, and sending the encrypted target information to the second terminal, the second terminal being used for generating a second key on the basis of the first communication data; and decrypting the target information on the basis of the second key. By means of the Internet-of-Vehicles encryption communication method in the embodiments of the present application, the channel reciprocity can be improved, and the consistency rate of keys of two communication parties can also be increased.

Description

A method, device, electronic device and storage medium for encrypted communication in an internet of vehicles Technical Field

The present invention relates to the field of information security technology, and in particular to an Internet of Vehicles encrypted communication method, device, electronic equipment and storage medium.

Background Art

The development of wireless communication technology has brought new challenges to wireless security in the Internet of Vehicles. Physical layer wireless key generation is a physical layer security protection technology that uses the reciprocity, time-varying and spatial properties of wireless channels to generate keys and encrypt information. Its algorithm complexity is low and power consumption is low, making it particularly suitable for distributed vehicle networks. In the wireless channel key generation of the Internet of Vehicles, the communicating parties use the randomness, time-varying and short-term reciprocity of the wireless channel between the vehicle terminals to measure the common channel characteristics as a random source to generate keys.

In the traditional research on wireless key generation systems, channels in static or slow-moving environments are mostly considered. Existing encryption communication methods directly use CSI obtained by channel estimation to generate keys. However, in the Internet of Vehicles environment where the terminal moves at a fast speed, the channel has strong time-varying characteristics and poor channel reciprocity. Therefore, the inconsistency rate of the initial keys of the communicating parties in the existing scheme is high, which reduces the performance and efficiency of encrypted communication.

Summary of the invention

In view of the defects of the prior art, the embodiments of the present disclosure provide a method, device, electronic device and storage medium for Internet of Vehicles encrypted communication, which can improve channel reciprocity and increase the key consistency rate between the communicating parties.

The embodiment of the present application provides a vehicle networking encryption communication method, which is applied to a first terminal, and the method includes: sending first communication data to a second terminal according to a preset communication protocol, and receiving second communication data sent by the second terminal; determining parameter information of a filter according to the second communication data; constructing a filter based on the parameter information; inputting the second communication data into the filter, and obtaining Predicting communication data; generating a first key based on the predicted communication data; encrypting target information using the first key, and sending the encrypted target information to a second terminal; the second terminal is used to generate a second key based on the first communication data; and decrypting the target information based on the second key.

Optionally, sending first communication data to the second terminal according to a preset communication protocol and receiving second communication data sent by the second terminal include: sending broadcast frame data to the second terminal; sending the first communication data to the second terminal based on a preset time slot, and receiving second communication data sent by the second terminal based on the preset time slot.

Optionally, the communication subframe data includes communication subframe data including multiple channel measurement pilot symbols generated according to a preset communication protocol. Determining the parameter information of the filter according to the second communication data includes: determining the wireless channel state information CSI of the latter two channel measurement pilot symbols according to the communication subframe data of the latter two channel measurement pilot symbols among the multiple channel measurement pilot symbols in the second communication data; and determining the parameter information based on the CSI of the latter two channel measurement pilot symbols.

Optionally, the second communication data is input into the filter to obtain predicted communication data, including: inputting the CSI of the last channel measurement pilot symbol into the filter to obtain predicted communication data; wherein the predicted communication data is a predicted value of the CSI of the first channel measurement pilot symbol among multiple channel measurement pilot symbols in the first communication data determined by the second terminal; the second terminal is used to generate a second key based on the CSI of the first channel measurement pilot symbol among multiple channel measurement pilot symbols in the first communication data.

Optionally, the CSI includes amplitude response information of the channel. According to the communication subframe data of the last two channel measurement pilot symbols among the multiple channel measurement pilot symbols in the second communication data, the wireless channel state information CSI of the last two channel measurement pilot symbols is determined, including: performing channel estimation according to the communication subframe data of the last two channel measurement pilot symbols, obtaining the communication subframe data of the last two channel measurement pilot symbols, and determining them as the input signal and the reference signal respectively. Determining parameter information based on the CSI of the last two channel measurement pilot symbols includes: determining the autocorrelation function of the input signal; determining the cross-correlation function of the input signal and the reference signal; determining parameter information based on the autocorrelation function and the cross-correlation function.

Optionally, the CSI of the last channel measurement pilot symbol is input into the filter to obtain Predicting communication data, including: inputting the CSI of the last channel measurement pilot symbol into a filter to obtain an output sequence; determining the output sequence as predicted communication data when the channel subframe interval meets a first preset condition; constructing a linear function based on the output sequence and a reference signal when the channel subframe interval meets a second preset condition; determining the predicted communication data based on the linear function; wherein the channel subframe interval is an interval between a symbol position of a first channel measurement pilot symbol in the first communication data received by the second terminal and a symbol position of a last channel measurement pilot symbol received by the first terminal.

Optionally, the filter comprises a Wiener filter.

Accordingly, an embodiment of the present application provides a vehicle networking communication device, which is applied to a first terminal, and the device includes:

The transceiver module is used to send the first communication data to the second terminal according to the preset communication protocol, and receive the second communication data sent by the second terminal; the second terminal is used to generate a second key based on the first communication data;

A parameter module, used to determine parameter information of the filter according to the second communication data;

A construction module, for constructing a filter based on parameter information;

A prediction module, used for inputting the second communication data into a filter to obtain predicted communication data;

A key generation module, used to generate a first key based on the predicted communication data;

The encryption module is used to encrypt the target information using the first key and send the encrypted target information to the second terminal; the second terminal is used to decrypt the target information based on the second key.

Optionally, the transceiver module is used to: send broadcast frame data to the second terminal; send first communication data to the second terminal based on a preset time slot, and receive second communication data sent by the second terminal based on the preset time slot.

Optionally, the communication subframe data includes communication subframe data including multiple channel measurement pilot symbols generated according to a preset communication protocol. The parameter module is used to: determine the wireless channel state information CSI of the latter two channel measurement pilot symbols according to the communication subframe data of the latter two channel measurement pilot symbols among the multiple channel measurement pilot symbols in the second communication data; and determine the parameter information based on the CSI of the latter two channel measurement pilot symbols.

Optionally, the prediction module is used to: calculate the CSI of the last channel measurement pilot symbol An input filter is used to obtain predicted communication data; wherein the predicted communication data is a predicted value of the CSI of the first channel measurement pilot symbol among multiple channel measurement pilot symbols in the first communication data determined by the second terminal; and the second terminal is used to generate a second key based on the CSI of the first channel measurement pilot symbol among the multiple channel measurement pilot symbols in the first communication data.

Optionally, the CSI includes amplitude response information of the channel. The prediction module is used to: perform channel estimation based on the communication subframe data of the last two channel measurement pilot symbols, obtain the communication subframe data of the last two channel measurement pilot symbols, and determine them as input signals and reference signals respectively; determine the autocorrelation function of the input signal; determine the cross-correlation function of the input signal and the reference signal; and determine parameter information based on the autocorrelation function and the cross-correlation function.

Optionally, the prediction module is used to: input the CSI of the last channel measurement pilot symbol into the filter to obtain an output sequence; when the channel subframe interval meets the first preset condition, determine the output sequence as the predicted communication data; when the channel subframe interval meets the second preset condition, construct a linear function based on the output sequence and the reference signal; determine the predicted communication data based on the linear function; wherein the channel subframe interval is the interval between the symbol position of the first channel measurement pilot symbol in the first communication data received by the second terminal and the symbol position of the last channel measurement pilot symbol received by the first terminal.

Accordingly, an embodiment of the present disclosure provides an electronic device, which includes a processor and a memory, wherein the memory stores at least one instruction, at least one program, code set or instruction set, and the at least one instruction, at least one program, code set or instruction set is loaded and executed by the processor to implement the above-mentioned Internet of Vehicles encryption communication method.

Accordingly, an embodiment of the present disclosure provides a computer-readable storage medium, in which at least one instruction, at least one program, code set or instruction set is stored, and the at least one instruction, at least one program, code set or instruction set is loaded and executed by a processor to implement the above-mentioned Internet of Vehicles encrypted communication method.

The embodiments of the present application have the following beneficial effects:

(1) Through a vehicle networking encrypted communication method according to an embodiment of the present application, after each of the communicating parties has completed the channel estimation process, a Wiener filter that reflects the time-varying process of the channel is constructed by using the result of the most recent secondary channel estimation on the vehicle networking terminal side, and the most recent channel estimation value is input based on the constructed Wiener filter to predict the reception of the other party. The channel estimation result at the receiving signal position can realize the compensation of channel reciprocity. In the simulation and actual test process, facing the channel conditions in different environments, the channel correlation coefficient can be improved;

(2) One party in communication uses the predicted channel estimation result as a random source for generating a key, and the other party uses the actually measured channel estimation result as a random source for generating a key. The keys are generated after quantization respectively. Thanks to the result of Wiener filter extrapolation prediction, the inconsistency rate of generated keys can be reduced, and ultimately better performance of secure information transmission of shared wireless channel characteristics can be achieved, which has good practicality.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

FIG1 is a schematic diagram of an application scenario of an Internet of Vehicles encryption communication method provided by an embodiment of the present application;

FIG2 is a schematic diagram of a first flow chart of a vehicle networking encryption communication method provided by an embodiment of the present application;

FIG3 is a schematic diagram of a second flow chart of a vehicle networking encryption communication method provided by an embodiment of the present application;

FIG4 is a frequency domain subcarrier amplitude response channel characteristic diagram of a vehicle networking encryption communication method provided by an embodiment of the present application;

FIG5 is a schematic diagram of a third flow chart of a vehicle networking encryption communication device provided in an embodiment of the present application;

6 is a channel correlation coefficient diagram with and without Wiener filter interpolation at different channel measurement subframe intervals of a vehicle networking encryption communication method provided by an embodiment of the present application;

7 is a frequency domain subcarrier amplitude response channel characteristic diagram after Wiener filter interpolation prediction of a vehicle networking encryption communication method provided in an embodiment of the present application;

FIG8 is a multiple comparison diagram of channel cross-correlation coefficients after Wiener filter interpolation prediction and without preprocessing in a vehicle networking encryption communication method provided by an embodiment of the present application;

9 is a comparison chart of the key inconsistency rate after Wiener filter interpolation prediction and without preprocessing of a vehicle networking encryption communication method provided in an embodiment of the present application;

FIG10 is a schematic diagram of the structure of an Internet of Vehicles encryption communication device provided in an embodiment of the present application;

FIG11 is a hardware structure block diagram of a server of a vehicle networking encryption communication method provided in an embodiment of the present application.

DETAILED DESCRIPTION

In order to make the purpose, technical scheme and advantages of the present application clearer, the embodiments of the present application will be further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiment is only one embodiment of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

The "embodiment" referred to herein refers to a specific feature, structure or characteristic that may be included in at least one implementation of the present application. In the description of the embodiments of the present application, it should be understood that the orientation or positional relationship indicated by the terms "upper", "lower", "left", "right", "top", "bottom", etc. is based on the orientation or positional relationship shown in the accompanying drawings, which is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device/system or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present application. The terms "first" and "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, the features defined as "first" and "second" may include one or more of the features explicitly or implicitly. Moreover, the terms "first", "second", etc. are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described here can be implemented in an order other than that illustrated or described here. In addition, the terms "comprise", "have"/"are" and any variations thereof are intended to cover a non-exclusive inclusion, for example, comprising a series of steps or units/modules. The processes, methods, systems/apparatus, products or apparatuses are not necessarily limited to those steps or units/modules explicitly listed, but may include other steps or units/modules not explicitly listed or inherent to such processes, methods, products or apparatuses.

The following describes a specific embodiment of a vehicle networking encryption communication method provided by the present application. Please refer to Figure 1, which is a schematic diagram of an application scenario of a vehicle networking encryption communication method provided by an embodiment of the present application. As shown in Figure 1, a vehicle 101 and one or more sensors 1011 and one or more controllers 1012 included in the vehicle 101 are included.

Optionally, the vehicle 101 may include a sensor 1011 for sensing the surrounding environment. The sensor 1011 may include one or more of the following sensors: an ultrasonic sensor, a millimeter wave radar, a laser radar (LiDAR), a visual camera, and an infrared camera. Different sensors may provide different detection accuracy and range. Ultrasonic sensors may be installed around the vehicle to measure the distance of an object outside the vehicle from the vehicle by utilizing the characteristics of strong ultrasonic directionality. Millimeter wave radars may be installed in front of, behind, or at other locations of the vehicle to measure the distance of an object outside the vehicle from the vehicle by utilizing the characteristics of electromagnetic waves. Laser radars may be installed in front of, behind, or at other locations of the vehicle to detect object edges and shape information, thereby performing object recognition and tracking. Due to the Doppler effect, the radar device may also measure the speed change of the vehicle and the moving object. The camera may be installed in front of, behind, or at other locations of the vehicle. The visual camera may capture the situation inside and outside the vehicle in real time and present it to the driver and/or passengers. In addition, by analyzing the images captured by the visual camera, information such as traffic light indications, intersection conditions, and the operating status of other vehicles may be obtained. Infrared cameras may capture objects in night vision conditions.

Optionally, the vehicle 101 may include a controller 1012. The controller 1012 may include a processor that communicates with various types of computer-readable storage devices or media, such as a central processing unit (CPU) or a graphics processing unit (GPU), or other dedicated processors, etc. The computer-readable storage device or medium may include any non-transitory storage device, which may be any storage device that is non-transitory and can implement data storage, and may include but is not limited to a disk drive, an optical storage device, a solid-state memory, a floppy disk, a flexible disk, a hard disk, a magnetic tape or any other magnetic medium, an optical disk or any other optical medium, a read-only memory (ROM), a random access memory (RAM), a high-speed Buffer memory and/or any other memory chip or box, and/or any other medium from which a computer can read data, instructions and/or code. Some of the data in the computer-readable storage device or medium represents executable instructions used by the controller 1012 to control the vehicle. The controller 1012 may include an automatic driving system for automatically controlling various actuators in the vehicle. In an optional embodiment, the controller 1012 may perform data processing based on the perception data of the sensor 1011.

Optionally, the vehicle 101 may also include a communication device 1013. The communication device 1013 includes a satellite positioning module capable of receiving satellite positioning signals from a satellite and generating coordinates based on these signals. The communication device 1013 also includes a module for communicating with a mobile communication network, and the mobile communication network can implement any suitable communication technology, such as GSM/GPRS, CDMA, LTE and other current or developing wireless communication technologies (such as 5G technology). The communication device 1013 may also have a vehicle network or a vehicle-to-everything (V2X) module, which is configured to realize, for example, vehicle-to-vehicle (V2V) communication with other vehicles and vehicle-to-infrastructure (V2I) communication with the infrastructure. Communication between the vehicle and the outside world. In addition, the communication device 1013 may also have a module configured to communicate with a user terminal (including but not limited to a smart phone, a tablet computer or a wearable device such as a watch) by using a wireless local area network or Bluetooth using the IEEE802.11 standard. By using the communication device 1013 , the vehicle 101 can access an online server or a cloud server via a wireless communication system. The online server or the cloud server is configured to provide corresponding data processing, data storage, data transmission and other services for the vehicle.

In addition, the vehicle 101 also includes a powertrain, a steering system, a braking system, etc. for realizing the driving function of the motor vehicle, which are not shown in FIG. 1 .

In an optional implementation, the first terminal may be the vehicle 101, and the second terminal may be another vehicle or other device that can communicate with the vehicle 101 based on the Internet of Vehicles. The method may include: sending first communication data to the second terminal according to a preset communication protocol, and receiving second communication data sent by the second terminal; determining parameter information of the filter according to the second communication data; constructing the filter based on the parameter information; inputting the second communication data into the filter to obtain predicted communication data; generating a first key based on the predicted communication data; encrypting the target information using the first key, and sending the encrypted target information to the second terminal; The second terminal is used to generate a second key based on the first communication data; and decrypt the target information based on the second key.

In addition, it should be noted that what is shown in FIG1 is only an application environment of the vehicle network encryption communication method provided by the present disclosure. In actual applications, other application environments may also be included. This embodiment is not limited to this. The vehicle disclosed in the present disclosure may include one or more of the structures or functions of the vehicle 101 shown in FIG1.

In the wireless channel key generation of the Internet of Vehicles, the communicating parties use the randomness, time-varying and short-term reciprocity of the wireless channel between the vehicle terminals to measure the common channel characteristics as a random source to generate keys. In the channel measurement step, the two parties obtain their respective channel state information (CSI) through channel estimation, and the channel reciprocity can be expressed by the Pearson correlation coefficient. The higher the channel reciprocity of the two parties, the lower the inconsistency rate of the generated key. In the traditional research on wireless key generation systems, channels in static or slow-moving environments are mostly considered. However, in the Internet of Vehicles environment where the terminal moves at a fast speed, the channel has a strong time-varying property, which will lead to poor channel reciprocity. If the CSI obtained by channel estimation is directly used for key generation, the key inconsistency rate of the initial keys of the communicating parties will be very high. Therefore, it is necessary to pre-process the CSI to enhance the reciprocity of the channels of both parties.

The following is an exemplary process of an Internet of Vehicles encrypted communication method provided by the present application. Optionally, the executor of an Internet of Vehicles encrypted communication method may be a first terminal. Figure 2 is a schematic diagram of the first process of an Internet of Vehicles encrypted communication method provided by an embodiment of the present application. This specification provides method or process operation steps as shown in the embodiments or flow charts, but may include more or fewer operation steps based on conventional or non-creative labor. The order of steps listed in the embodiments is only one of many execution orders and does not represent the only execution order. In actual execution, the method or process shown in the embodiments or drawings may be executed sequentially or in parallel (for example, a parallel processor or a multi-threaded processing environment). Specifically, as shown in Figure 2, the method includes:

Step S201: sending first communication data to a second terminal according to a preset communication protocol, and receiving second communication data sent by the second terminal.

In an optional implementation, the first terminal and the second terminal may be communicating parties. The first terminal and the second terminal may communicate with each other in a time division duplex mode according to a preset communication protocol. Sending and receiving communication data, that is, the first terminal sends the first communication data, and the second terminal sends the second communication data. Optionally, the first communication data or the second communication data may include a data communication subframe of a physical sidelink shared channel (Physical Sidelink Control Channel PSSCH) containing a channel measurement pilot symbol. Optionally, the preset communication protocol may be an LTE-V2X protocol.

In an optional implementation, step S201 may also include: sending broadcast frame data to the second terminal; sending first communication data to the second terminal based on a preset time slot, and receiving second communication data sent by the second terminal based on the preset time slot. Optionally, the preset communication protocol may stipulate that the first terminal first sends a broadcast frame in the 0th frame, and after the second terminal detects and obtains the broadcast frame sent by the first terminal, it can send a data communication subframe containing multiple channel measurement pilot symbols through the resource allocation time slot agreed by both parties for communication. Optionally, the second terminal can send a PSSCH subframe in the set 18th frame time slot, and the first terminal then sends a PSSCH subframe in the 19th frame time slot, wherein the time slots of the two PSSCH subframes can be adjusted arbitrarily according to demand. Specifically, the second terminal can send a PSSCH subframe in the set (1+n)th frame time slot, and the first terminal can send a PSSCH subframe in the (1+n+m)th frame time slot, and n and m can be adjusted.

In an optional embodiment, a data communication subframe including channel measurement pilot symbols may be a subframe containing multiple segments of pilot symbols, such as four segments of demodulation reference signal (DMRS) symbols contained in each subframe of the PSSCH channel in the LTE-V2X protocol; or a subframe containing only one segment of pilot symbols, such as a long pilot code for channel estimation contained in each subframe in the 802.11 protocol.

Step S202: Determine parameter information of the filter according to the second communication data.

In an optional embodiment, the filter may include a Wiener filter.

Step S202 is further described below based on FIG. 3 .

FIG3 is a schematic diagram of a second process of a vehicle networking encryption communication method provided by an embodiment of the present application. Specifically, referring to FIG3, the exemplary process of step S202 may include:

Step S301: measure the number of channels in the second communication data in the pilot symbol. The communication subframe data of the two channel measurement pilot symbols are used to determine the wireless channel state information CSI of the latter two channel measurement pilot symbols.

In an optional implementation, the CSI may include the amplitude response information of the channel. The PSSCH subframe used for channel measurement contains a pilot signal on each subcarrier when the block pilot is inserted, so the channel estimation values of all subcarriers can be calculated by performing LS channel estimation on the received DMRS sequence and the locally known original DMRS sequence. Optionally, channel estimation can be performed based on the communication subframe data of the last two channel measurement pilot symbols to obtain the communication subframe data of the last two channel measurement pilot symbols, and determine them as input signals and reference signals respectively.

In an optional implementation, both the first terminal and the second terminal may adopt the time division duplex mode to perform channel measurement. After completing a pair of channel measurement processes, both parties demodulate the PSSCH subframes sent and received to obtain their respective CSIs. Optionally, the first communication data or the second communication data may be a data communication subframe containing multiple channel measurement pilot symbols generated according to the communication protocol, and the CSI may be the measured channel frequency domain amplitude response characteristics on each subcarrier. Optionally, both parties may obtain 4 segments of CSI corresponding to 2, 5, 8, and 11 DMRS symbols in the uplink and downlink PSSCH subframes, respectively. Optionally, the system sampling rate may be set to 30.72MHz, and the carrier frequencies of the transmitting and receiving ends may operate at 5.9Ghz. The Internet of Vehicles channel model adopts the TDL-D model defined in the 3GPP TR 38.901 standard, which can restore real mobile wireless channels in urban streets and open areas.

The CSI obtained by channel estimation in the embodiment of the present application is further described below based on FIG. 4 .

Figure 4 is a frequency domain subcarrier amplitude response channel characteristic diagram of a vehicle network encryption communication method provided in an embodiment of the present application. Specifically, the first terminal and the second terminal obtain DMRS symbols corresponding to symbols 2, 5, 8, and 11 in the PSSCH subframe, estimate 4 segments of CSI, and the obtained wireless channel frequency domain characteristics can be shown in Figure 4. In Figure 4, the horizontal axis represents the subcarrier and the vertical axis represents the amplitude. As can be seen from Figure 4, due to various factors such as channel time variation, environmental interference, and hardware fingerprints, there will be certain differences in the wireless channel frequency domain characteristics obtained by the first terminal and the second terminal.

Optionally, the CSI obtained by channel measurement may be an amplitude response on each subcarrier obtained by using an LS channel estimation algorithm, expressed as The calculation method is shown in the following formula:

Among them, R(n) _i is the DMRS sequence of the received PSSCH subframe, and S(n) _i is the original DMRS sequence of the transmitter without channel transmission.

In an optional implementation manner, the CSI of the 8th DMRS symbol bit of the uplink of the first terminal may be taken as the input signal, and the CSI of the 11th DMRS symbol bit of the uplink of the first terminal may be taken as the reference signal.

Step S302: Determine parameter information based on the CSI of the last two channel measurement pilot symbols.

Optionally, the first terminal can calculate the coefficients of the Wiener filter using the channel response estimated by the last two pilot symbols received for channel measurement. In an optional implementation, the communication system includes multiple pilot symbols in a subframe, and the first terminal can use the last two pilot symbols used for channel measurement in the subframe to estimate the channel response. In another optional implementation, the communication system only includes one pilot symbol in a subframe, and the first terminal can use the pilot symbols used for channel measurement in the two most recently received subframes to estimate the channel response. Optionally, in an embodiment in which the first terminal and the second terminal obtain DMRS symbols corresponding to symbols 2, 5, 8, and 11 in the PSSCH subframe and estimate the frequency domain characteristics of the wireless channel of 4 CSI segments, the first terminal can use the two CSI segments at the 8th and 11th DMRS symbol positions on the uplink to calculate the coefficients of the Wiener filter.

In an optional implementation, step S302 may include: determining an autocorrelation function of an input signal; determining a cross-correlation function of an input signal and a reference signal; and determining parameter information based on the autocorrelation function and the cross-correlation function. Optionally, the results of the two-stage channel estimation of the first terminal may be the input signal x(n) and the reference signal s(n) described in step S301, respectively. The following specifically describes a method for calculating parameter information of a Wiener filter, and the parameter information may include a coefficient matrix of a filter, denoted as H:

Wiener filtering uses the minimum mean square error criterion, that is, it requires that the mean square error e ² (n) between the reference signal s(n) and the input signal x(n) after passing through the filter is minimized.

Taking the derivative with respect to h,

Setting the derivative equal to zero gives the Nth-order Wienerhof equation

Substitute j as 0≤j≤N-1 and rewrite it into matrix form to get
R _xx H＝R _xs

Therefore, the coefficient solution of the Wiener filter is
H＝(R _xx )-1R _xs

Where R _xx is the autocorrelation function of the input signal x(n), and R _xs is the cross-correlation function of the input signal x(n) and the reference signal s(n).

The following is explained based on Figure 2:

Step S203: construct a filter based on the parameter information.

In an optional implementation, a finite impulse response (FIR) Wiener filter may be constructed based on the parameter information. Optionally, H may be one-dimensional and the whole may correspond to the impulse response of the filter. Optionally, the order of the filter may be set to the length of the channel estimation sequence, i.e., the CSI sequence.

Step S204: input the second communication data into the filter to obtain predicted communication data.

In an optional implementation manner, the CSI of the last channel measurement pilot symbol among the received multiple channel measurement pilot symbols may be input into a filter to obtain predicted communication data.

The predicted communication data may be a predicted value of the CSI of the first channel measurement pilot symbol among multiple channel measurement pilot symbols in the first communication data determined by the second terminal. Specifically, the predicted communication data may be an interpolated predicted value of the CSI of the first segment pilot symbol position of the channel measurement received by the second terminal after the time interval specified by the communication protocol. Optionally, the second terminal may be used to generate a second key based on the CSI of the first channel measurement pilot symbol among multiple channel measurement pilot symbols in the first communication data.

In an optional implementation, the first terminal can use the CSI of the 11th DMRS symbol bit of the uplink as the input of the filter, and output the interpolated prediction value of the CSI of the 2nd DMRS symbol of the downlink of the second terminal as the predicted communication data. Optionally, the predicted communication data can be used as a random source for subsequent key generation of the first terminal.

The exemplary process of step S204 is further described below based on FIG. 5 .

FIG5 is a schematic diagram of a third process of a vehicle networking encryption communication device provided in an embodiment of the present application. Specifically, referring to FIG5, in an optional implementation, the exemplary process of step S204 may include:

Step S501: input the CSI of the last channel measurement pilot symbol into a filter to obtain an output sequence.

In an optional implementation manner, the CSI of the last channel measurement pilot symbol among the received multiple channel measurement pilot symbols may be input into a filter to obtain predicted communication data.

Optionally, the output CSI sequence may be calculated according to the following formula:
y(n)＝h*s(n)

Among them, y(n) is the output sequence of the Wiener filter; h can represent the filter; s(n) can be the CSI sequence of the last channel measurement pilot symbol bit, specifically, it can be the CSI sequence of the 11th DMRS symbol bit.

Step S502: when the channel subframe interval meets the first preset condition, the output sequence is determined as predicted communication data.

In an optional implementation, when the channel subframe interval meets the first preset condition, the output sequence may be determined as predicted communication data.

Optionally, the channel subframe interval may be a subframe interval of the first communication data received by the second terminal. The interval between the symbol position of the first channel measurement pilot symbol received by the first terminal and the symbol position of the last channel measurement pilot symbol received by the first terminal.

In an optional implementation, the first preset condition may be that the channel subframe interval is less than or equal to the interval of the two-segment pilot positions used by the first terminal to construct the Wiener filter. Optionally, the interval of the two-segment pilot positions used by the first terminal to construct the Wiener filter may be the interval between the symbol position of the second-to-last channel measurement pilot symbol received by the first terminal and the symbol position of the last channel measurement pilot symbol.

Step S503: when the channel subframe interval meets the second preset condition, construct a linear function based on the output sequence and the reference signal.

In an optional implementation, when the channel subframe interval meets the second preset condition, a linear function may be constructed based on the output sequence and the reference signal.

Optionally, the linear function can be as follows:

Wherein, l _s , l _y , l _p may be the relative symbol positions of the reference signal, the output sequence of the Wiener filter, and the sequence to be predicted in the time domain, respectively. Specifically, the reference signal may be the CSI of the 11th DMRS symbol bit of the first terminal, the output sequence may be the output sequence determined in step S401, and the sequence to be predicted may be the CSI of the 2nd DMRS symbol bit of the second terminal.

Optionally, the channel subframe interval may be an interval between a symbol position of a first channel measurement pilot symbol in the first communication data received by the second terminal and a symbol position of a last channel measurement pilot symbol received by the first terminal.

In an optional implementation, the second preset condition may be that the channel subframe interval is greater than the interval of the two-segment pilot positions used by the first terminal to construct the Wiener filter. Optionally, the interval of the two-segment pilot positions used by the first terminal to construct the Wiener filter may be the interval between the symbol position of the second-to-last channel measurement pilot symbol received by the first terminal and the symbol position of the last channel measurement pilot symbol.

Step S504: Determine predicted communication data based on the linear function.

In an optional implementation, when the channel subframe interval meets the second preset condition, the predicted communication data can be determined based on a linear function. Optionally, the p(n) sequence determined in step S503 according to the output sequence and the reference signal can be determined as the predicted communication data according to the linear function in step S503.

The step S204 is further described below based on FIG. 6 , FIG. 7 , and FIG. 8 .

Figure 6 is a diagram of the channel correlation coefficient with and without Wiener filter interpolation at different channel measurement subframe intervals for a method for encrypted communication in an Internet of Vehicles provided in an embodiment of the present application. Figure 6 illustrates the channel correlation coefficient with and without Wiener filter interpolation at different channel measurement subframe intervals. In Figure 6, the horizontal axis represents the channel measurement subframe interval, the vertical axis represents the channel correlation coefficient, and the upper broken line data and the lower broken line data are the data after Wiener filtering and the data corresponding to the original data, respectively. According to the diagram in Figure 6, compared with the original data, Wiener filter interpolation can improve the channel correlation coefficient, that is, channel reciprocity, at different channel measurement subframe intervals.

Figure 7 is a frequency domain subcarrier amplitude response channel characteristic diagram after Wiener filter interpolation prediction of a vehicle network encryption communication method provided by an embodiment of the present application; Figure 8 is a multiple comparison diagram of channel correlation coefficients after Wiener filter interpolation prediction and without preprocessing of a vehicle network encryption communication method provided by an embodiment of the present application. Figure 7 illustrates the frequency domain subcarrier amplitude response channel characteristic diagram after Wiener filter interpolation prediction of the present invention, and the horizontal and vertical coordinates of Figure 7 have the same meaning as those of Figure 4; Figure 8 illustrates a comparison diagram of channel correlation coefficients after multiple Wiener filter interpolation predictions and without preprocessing, and the horizontal and vertical coordinates of Figure 8 have the same meaning as those of Figure 6. Figures 7 and 8 effectively reflect that the scheme can improve the channel correlation coefficient under channel conditions in different environments.

Next, based on FIG. 2 , an Internet of Vehicles encryption communication method provided by an embodiment of the present application is introduced.

Step S205: Generate a first key based on the predicted communication data.

Optionally, the second terminal is used to generate a second key based on the first communication data.

In an optional implementation, the first terminal may generate the first key using the predicted communication data. Alternatively, the first terminal may generate the first key using the interpolated predicted value of the CSI determined in step S204. In an optional implementation, the second terminal may generate the second key using the target communication data, that is, the CSI of the second DMRS symbol. The secret key and the second secret key may be binary keys having the same number of bits.

When the channel characteristic is the frequency domain amplitude response characteristic of the channel, the amplitude values of the frequency domain amplitude response characteristic of the channel at different subcarriers should be quantized into a bit sequence corresponding to the amplitude. In an optional implementation, the first terminal and the second terminal may normalize the predicted communication data and the target communication data to the interval [0,1] respectively, and then divide the threshold into N quantization intervals according to the preset threshold rule, and generate binary keys with the same number of bits through the preset coding rule, which are the first key and the second key respectively. Optionally, the preset threshold rule may be a median threshold rule, or an equal division threshold rule, etc., which is not limited to this in the embodiments of the present application. Optionally, the preset coding rule may be a Gray code mapping rule, or other coding rules such as a mapping rule that increases by binary value, which is not limited to this in the embodiments of the present application.

FIG9 is a comparison chart of the key inconsistency rate after Wiener filter interpolation prediction and without preprocessing of a vehicle network encryption communication method provided by an embodiment of the present application. Specifically, FIG9 compares the key inconsistency rate after Wiener filter interpolation prediction and without preprocessing. In FIG9, the horizontal axis represents the number of simulations, and the vertical axis represents the inconsistency rate of the keys generated by both parties. According to the diagram in FIG9, it can be seen that the Wiener filter interpolation prediction can effectively reduce the inconsistency rate of the keys generated by both parties.

Step S206: Encrypt the target message using the first key, and send the encrypted target message to the second terminal.

Optionally, the second terminal is used to decrypt the target message based on the second key. Optionally, after information reconciliation and privacy enhancement, the first terminal can use the generated first key to encrypt the target message and send it to the second terminal, and the second terminal can use the generated second key to decrypt the encrypted target message to obtain the decrypted target message. Optionally, the first terminal and the second terminal can compare the inconsistency rate of the first key and the second key and the mutual correlation coefficient of the CSI.

In an optional implementation, the first key or the second key may be an asymmetric private key.

Optionally, the first key may be denoted as K _A and the second key may be denoted as K _B. Optionally, the first terminal may encrypt the target information M to be sent by using an information encryption processing method shared by both parties in legal communication to obtain encrypted information M′, and then encrypt the encrypted information M′ by using a channel error correction coding algorithm. Process the encrypted information M′ to obtain the coded information CM. Perform bit-by-bit XOR operation on the coded information CM and the asymmetric private key _KA to obtain the sequence S to be transmitted, and transmit it to the second terminal through a public channel. Optionally, the second terminal can perform an XOR operation on the received sequence S and the asymmetric private key _KB to decode the information S′, and then decrypt the information S′ through a channel error correction decoding algorithm to obtain the information M′. The second terminal decrypts the information M′ through the information decryption processing method shared by both parties in legal communication to obtain the target information M transmitted by the first terminal.

In view of the low initial reciprocity of the uplink and downlink of the wireless channel in the vehicle network channel environment, an embodiment of the present invention proposes a vehicle network encryption communication method, which specifically includes a vehicle network channel reciprocity enhancement and key generation method based on Wiener filter extrapolation prediction. Through a vehicle network encryption communication method of an embodiment of the present application, after each of the communicating parties completes the channel estimation process, they can use the result of the most recent secondary channel estimation to construct a Wiener filter that reflects the time-varying process of the channel on the side of the vehicle network terminal, and input the most recent channel estimation value based on the constructed Wiener filter and predict the channel estimation result at the position of the other party's received signal, thereby realizing compensation for channel reciprocity. In the simulation and actual testing process, facing the channel conditions of different environments, the mutual correlation coefficient of the channel can be improved.

Furthermore, in the embodiment of the present invention, one party of the communication uses the predicted channel estimation result as a random source for generating a key, and the other party uses the actually measured channel estimation result as a random source for generating a key, and the keys are generated after quantization respectively. Thanks to the result of the Wiener filter extrapolation prediction, the inconsistency rate of the generated key can be reduced, and ultimately better performance of secure information transmission of shared wireless channel characteristics can be achieved, which has good practicality.

Accordingly, the embodiment of the present application also provides a vehicle networking encryption communication device. FIG10 is a second structural schematic diagram of a vehicle networking encryption communication device provided by the embodiment of the present application. As shown in FIG10 , the vehicle networking encryption communication device 1000 may include:

The transceiver module 1001 is used to send first communication data to the second terminal according to a preset communication protocol, and receive second communication data sent by the second terminal; the second terminal is used to generate a second key based on the first communication data;

A parameter module 1002, configured to determine parameter information of a filter according to the second communication data;

A construction module 1003, used to construct a filter based on parameter information;

A prediction module 1004, configured to input the second communication data into a filter to obtain predicted communication data;

A key generation module 1005, configured to generate a first key based on the predicted communication data;

The encryption module 1006 is used to encrypt the target message using the first key, and send the encrypted target message to the second terminal; the second terminal is used to decrypt the target message based on the second key.

Optionally, the transceiver module 1001 is used to: send broadcast frame data to the second terminal; send first communication data to the second terminal based on a preset time slot, and receive second communication data sent by the second terminal based on the preset time slot.

Optionally, the communication subframe data includes communication subframe data including multiple channel measurement pilot symbols generated according to a preset communication protocol. The parameter module 1002 is used to: determine the wireless channel state information CSI of the latter two channel measurement pilot symbols according to the communication subframe data of the latter two channel measurement pilot symbols among the multiple channel measurement pilot symbols in the second communication data; and determine the parameter information based on the CSI of the latter two channel measurement pilot symbols.

Optionally, the prediction module 1004 is used to: input the CSI of the last channel measurement pilot symbol into the filter to obtain predicted communication data; wherein the predicted communication data is a predicted value of the CSI of the first channel measurement pilot symbol among multiple channel measurement pilot symbols in the first communication data determined by the second terminal; the second terminal is used to generate a second key based on the CSI of the first channel measurement pilot symbol among multiple channel measurement pilot symbols in the first communication data.

Optionally, the CSI includes amplitude response information of the channel. The prediction module 1004 is used to: perform channel estimation based on the communication subframe data of the last two channel measurement pilot symbols, obtain the communication subframe data of the last two channel measurement pilot symbols, and determine them as input signals and reference signals respectively; determine the autocorrelation function of the input signal; determine the cross-correlation function of the input signal and the reference signal; and determine parameter information based on the autocorrelation function and the cross-correlation function.

Optionally, the prediction module 1004 is used to: input the CSI of the last channel measurement pilot symbol into the filter to obtain an output sequence; when the channel subframe interval meets the first preset condition, determine the output sequence as the predicted communication data; when the channel subframe interval meets the second preset condition, construct a linear function based on the output sequence and the reference signal; based on The linear function determines the predicted communication data; wherein the channel subframe interval is the interval between the symbol position of the first channel measurement pilot symbol in the first communication data received by the second terminal and the symbol position of the last channel measurement pilot symbol received by the first terminal.

The device embodiments and method embodiments provided in the embodiments of the present application may be based on the same concept.

Correspondingly, an embodiment of the present disclosure also provides an electronic device, which includes a processor and a memory, wherein the memory stores at least one instruction, at least one program, code set or instruction set, and the at least one instruction, at least one program, code set or instruction set is loaded and executed by the processor to implement the above-mentioned Internet of Vehicles encryption communication method.

The method embodiments provided in the embodiments of the present application can be executed in a computer terminal, a server or a similar computing device. Taking running on a server as an example, FIG. 11 is a hardware structure block diagram of a server of the vehicle networking encryption communication method provided in the embodiments of the present application. As shown in FIG. 11, the server 1100 may have relatively large differences due to different configurations or performances, and may include one or more central processing units (CPU) 1111 (the central processing unit 1111 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 1130 for storing data, and one or more storage media 1120 (such as one or more mass storage devices) for storing application programs 1123 or data 1122. Among them, the memory 1130 and the storage medium 1120 can be short-term storage or persistent storage. The program stored in the storage medium 1120 may include one or more modules, each of which may include a series of instruction operations on the server. Furthermore, the CPU 1111 may be configured to communicate with the storage medium 1120 and execute a series of instruction operations in the storage medium 1120 on the server 1100. The server 1100 may also include one or more power supplies 1160, one or more wired or wireless network interfaces 1150, one or more input and output interfaces 1140, and/or one or more operating systems 1121, such as Windows Server™, Mac OS X™, Unix™, Linux™, FreeBSD™, etc.

The input/output interface 1140 may be used to receive or send data via a network. A specific example of the network may include a wireless network provided by a communication provider of the server 1100. In one example, the input/output interface 1140 includes a network adapter. Interface Controller, NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the input and output interface 1140 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

Those skilled in the art will appreciate that the structure shown in FIG11 is merely illustrative and does not limit the structure of the electronic device. For example, the server 1100 may include more or fewer components than those shown in FIG11 , or may have a different configuration than that shown in FIG11 .

The present application implements a storage medium, which can be set in a server to store at least one instruction, at least one program, code set or instruction set related to the vehicle network encryption communication method in the method embodiment. The at least one instruction, the at least one program, the code set or instruction set is loaded and executed by the processor to implement the above-mentioned vehicle network encryption communication method.

Optionally, in this embodiment, the storage medium may be located in at least one of the multiple network servers of the computer network. Optionally, in this embodiment, the storage medium may include, but is not limited to, various media that can store program codes, such as a USB flash drive, a read-only memory (ROM), a mobile hard disk, a magnetic disk, or an optical disk.

In the present invention, unless otherwise clearly specified and limited, the terms "connected", "connection" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be a connection between two elements or an interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

It should be noted that the order of the above embodiments of the present application is for description only and does not represent the superiority or inferiority of the embodiments. The above description describes specific embodiments, and other embodiments are also within the scope of the attached claims. In some cases, the actions or steps recorded in the claims can be performed in the order of different embodiments and can achieve the expected results. In addition, the process depicted in the drawings does not necessarily require the process to be shown in the order of the embodiments. A specific order or sequence of connections may be required to achieve the desired results, and in some embodiments, multi-tasking parallel processing is possible or may be advantageous.

Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the embodiments of the device/system, since they are based on similarities to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

The above are preferred embodiments of the present invention. It should be pointed out that, for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims (10)

A vehicle network encryption communication method, characterized in that it is applied to a first terminal, and the method includes: Sending first communication data to a second terminal according to a preset communication protocol, and receiving second communication data sent by the second terminal; Determining parameter information of a filter according to the second communication data; constructing the filter based on the parameter information; inputting the second communication data into the filter to obtain predicted communication data; generating a first key based on the predicted communication data; The target information is encrypted using the first key, and the encrypted target information is sent to the second terminal; the second terminal is used to generate a second key based on the first communication data; and decrypt the target information based on the second key. The method for encrypted communication in an Internet of Vehicles according to claim 1, wherein the step of sending the first communication data to the second terminal according to the preset communication protocol and receiving the second communication data sent by the second terminal comprises: Sending broadcast frame data to the second terminal; The first communication data is sent to the second terminal based on a preset time slot, and the second communication data sent by the second terminal based on the preset time slot is received. The vehicle networking encrypted communication method according to claim 1, characterized in that the communication subframe data includes communication subframe data including a plurality of channel measurement pilot symbols generated according to the preset communication protocol, The step of determining the parameter information of the filter according to the second communication data comprises: Determine the wireless channel state information CSI of the latter two channel measurement pilot symbols according to the communication subframe data of the latter two channel measurement pilot symbols among the multiple channel measurement pilot symbols in the second communication data; The parameter information is determined based on the CSI of the latter two channel measurement pilot symbols. The method for encrypted communication in an Internet of Vehicles according to claim 3, wherein the step of inputting the second communication data into the filter to obtain predicted communication data comprises: Inputting the CSI of the last channel measurement pilot symbol into the filter to obtain the predicted communication data; Among them, the predicted communication data is a predicted value of the CSI of the first channel measurement pilot symbol among the multiple channel measurement pilot symbols in the first communication data determined by the second terminal; the second terminal is used to generate a second key based on the CSI of the first channel measurement pilot symbol among the multiple channel measurement pilot symbols in the first communication data. The method for encrypted communication in an Internet of Vehicles according to claim 4, wherein the CSI includes amplitude response information of the channel. The determining, according to the communication subframe data of the last two channel measurement pilot symbols among the multiple channel measurement pilot symbols in the second communication data, the wireless channel state information CSI of the last two channel measurement pilot symbols comprises: Perform channel estimation according to the communication subframe data of the latter two channel measurement pilot symbols, obtain the communication subframe data of the latter two channel measurement pilot symbols, and determine them as input signals and reference signals respectively; The determining the parameter information based on the CSI of the latter two channel measurement pilot symbols includes: determining an autocorrelation function of the input signal; determining a cross-correlation function of the input signal and the reference signal; The parameter information is determined based on the autocorrelation function and the cross-correlation function. The method for encrypted communication in an Internet of Vehicles according to claim 5, characterized in that the CSI of the last channel measurement pilot symbol is input into the filter, Obtaining the predicted communication data includes: Inputting the CSI of the last channel measurement pilot symbol into the filter to obtain an output sequence; In the case where the channel subframe interval meets the first preset condition, determining the output sequence as the predicted communication data; When the channel subframe interval satisfies a second preset condition, constructing a linear function based on the output sequence and the reference signal; determining the predicted communication data based on the linear function; The channel subframe interval is an interval between a symbol position of the first channel measurement pilot symbol in the first communication data received by the second terminal and a symbol position of the last channel measurement pilot symbol received by the first terminal. The vehicle network encryption communication method according to claim 1 is characterized in that the filter includes a Wiener filter. A vehicle networking communication device, characterized in that it is applied to a first terminal, and the device includes: A transceiver module, configured to send first communication data to a second terminal according to a preset communication protocol, and receive second communication data sent by the second terminal; the second terminal is configured to generate a second key based on the first communication data; A parameter module, used to determine parameter information of the filter according to the second communication data; A construction module, used for constructing the filter based on the parameter information; A prediction module, used for inputting the second communication data into the filter to obtain predicted communication data; A key generation module, used to generate a first key based on the predicted communication data; An encryption module is used to encrypt the target information using the first key, and send the encrypted target information to the second terminal; the second terminal is used to decrypt the target information based on the second key. An electronic device, characterized in that the electronic device includes a processor and a memory, wherein the memory stores at least one instruction, at least one program, code set or instruction set, and the at least one instruction, at least one program, code set or instruction set is loaded and executed by the processor to implement the vehicle network encryption communication method of any one of claims 1-7. A computer-readable storage medium, characterized in that at least one instruction, at least one program, code set or instruction set is stored in the storage medium, and the at least one instruction, at least one program, code set or instruction set is loaded and executed by a processor to implement the vehicle network encryption communication method as claimed in any one of claims 1 to 7.