| Challenges and solutions for cellular based V2X communications S Gyawali, S Xu, Y Qian, RQ Hu IEEE Communications Surveys & Tutorials 23 (1), 222-255, 2020 | 487 | 2020 |
| Misbehavior detection using machine learning in vehicular communication networks S Gyawali, Y Qian ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 160 | 2019 |
| Machine learning and reputation based misbehavior detection in vehicular communication networks S Gyawali, Y Qian, RQ Hu IEEE Transactions on Vehicular Technology 69 (8), 8871-8885, 2020 | 149 | 2020 |
| Deep reinforcement learning based dynamic reputation policy in 5g based vehicular communication networks S Gyawali, Y Qian, RQ Hu IEEE Transactions on Vehicular Technology 70 (6), 6136-6146, 2021 | 51 | 2021 |
| Resource allocation in vehicular communications using graph and deep reinforcement learning S Gyawali, Y Qian, RQ Hu 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 33 | 2019 |
| A privacy-preserving misbehavior detection system in vehicular communication networks S Gyawali, Y Qian, RQ Hu IEEE transactions on Vehicular Technology 70 (6), 6147-6158, 2021 | 29 | 2021 |
| A D2D based clustering scheme for public safety communications S Gyawali, S Xu, F Ye, RQ Hu, Y Qian 2018 IEEE 87th Vehicular Technology Conference (VTC Spring), 1-5, 2018 | 20 | 2018 |
| Cyber attacks detection using machine learning in smart grid systems S Gyawali, O Beg IEEE INFOCOM 2022-IEEE conference on computer communications workshops …, 2022 | 12 | 2022 |
| The Dark Side of AI: Large Language Models as Tools for Cyber Attacks on Vehicle Systems Y Usman, PK Gyawali, S Gyawali, R Chataut 2024 IEEE 15th Annual Ubiquitous Computing, Electronics & Mobile …, 2024 | 11 | 2024 |
| Enhancing Phishing Detection with AI: A Novel Dataset and Comprehensive Analysis Using Machine Learning and Large Language Models R Chataut, Y Usman, CMA Rahman, S Gyawali, PK Gyawali 2024 IEEE 15th Annual Ubiquitous Computing, Electronics & Mobile …, 2024 | 7 | 2024 |
| A multi-objective model for misbehavior detection in iov J Huang, J Lv, Z Zhou, S Gyawali, Y Qian GLOBECOM 2022-2022 IEEE Global Communications Conference, 4395-4400, 2022 | 7 | 2022 |
| Leveraging explainable AI for actionable insights in IoT intrusion detection S Gyawali, J Huang, Y Jiang 2024 19th Annual System of Systems Engineering Conference (SoSE), 92-97, 2024 | 6 | 2024 |
| Semi-supervised federated learning for misbehavior detection of BSMs in vehicular networks J Huang, Y Jiang, S Gyawali, Z Zhou, F Zhong 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall), 1-6, 2024 | 4 | 2024 |
| Enhanced and explainable deep learning-based intrusion detection in iot networks S Gyawali, K Sartipi, B Van Ravesteyn, J Huang, Y Jiang MILCOM 2023-2023 IEEE Military Communications Conference (MILCOM), 649-654, 2023 | 4 | 2023 |
| Distributed neural network-based ddos detection in vehicular communication systems N Jaton, S Gyawali, Y Qian 2023 16th International Conference on Signal Processing and Communication …, 2023 | 4 | 2023 |
| Distributed neural network based architecture for DDOS detection in vehicular communication systems N Jaton | 4 | 2021 |
| DynaDetect2. 0: Improving Detection Accuracy of Data Poisoning Attacks S Perry, Y Jiang, F Zhong, J Huang, S Gyawali 2024 Cyber Awareness and Research Symposium (CARS), 1-8, 2024 | 1 | 2024 |
| Local perception and bsm based misbehavior detection in intelligent transportation system S Gyawali, T Shimizu, H Lu, M Clifford, J Kenney, Y Qian 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall), 1-5, 2022 | 1 | 2022 |
| Misbehavior detection and privacy in cellular based vehicular communication networks S Gyawali The University of Nebraska-Lincoln, 2020 | 1 | 2020 |
| BatchMDS: A Time-efficient Misbehavior Detection System in Internet of Vehicles X Chen, Y Jiang, J Huang, S Gyawali, F Zhong, Y Qian IEEE Internet of Things Journal, 2025 | | 2025 |
Yi QianUniversity of TulsaVerified email at utulsa.edu
