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Asanka P. Sayakkara
Asanka P. Sayakkara
Senior Lecturer, University of Colombo School of Computing, Sri Lanka
Verified email at ucsc.cmb.ac.lk - Homepage
Title
Cited by
Cited by
Year
A survey of electromagnetic side-channel attacks and discussion on their case-progressing potential for digital forensics
A Sayakkara, NA Le-Khac, M Scanlon
Digital Investigation 29, 43-54, 2019
1672019
SoK: Exploring the state of the art and the future potential of artificial intelligence in digital forensic investigation
X Du, C Hargreaves, J Sheppard, F Anda, A Sayakkara, NA Le-Khac, ...
Proceedings of the 15th international conference on availability …, 2020
1272020
Leveraging electromagnetic side-channel analysis for the investigation of IoT devices
A Sayakkara, NA Le-Khac, M Scanlon
Digital Investigation 29, S94-S103, 2019
942019
Electromagnetic side-channel analysis for iot forensics: Challenges, framework, and datasets
AP Sayakkara, NA Le-Khac
Ieee Access 9, 113585-113598, 2021
362021
Electromagnetic Side-Channel Attacks: Potential for Progressing Hindered Digital Forensic Analysis
A Sayakkara, NA Le-Khac, M Scanlon
Proceedings of the International Workshop on Speculative Side Channel …, 2018
292018
Accuracy enhancement of electromagnetic side-channel attacks on computer monitors
A Sayakkara, NA Le-Khac, M Scanlon
Proceedings of the 13th International Conference on Availability …, 2018
272018
Facilitating electromagnetic side-channel analysis for IoT investigation: Evaluating the EMvidence framework
A Sayakkara, NA Le-Khac, M Scanlon
Forensic Science International: Digital Investigation 33, 301003, 2020
262020
Identifying Internet of Things software activities using deep learning-based electromagnetic side-channel analysis
Q Le, L Miralles-Pechuán, A Sayakkara, NA Le-Khac, M Scanlon
Forensic Science International: Digital Investigation 39, 301308, 2021
202021
The deployment of tikiridb for monitoring palm sap production
AP Sayakkara, WSNP Senanayake, K Hewage, NM Laxaman, ...
International Workshop on Real-world Wireless Sensor Networks, 182-185, 2010
20*2010
Forensic insights from smartphones through electromagnetic side-channel analysis
AP Sayakkara, NA Le-Khac
Ieee Access 9, 13237-13247, 2021
192021
Listening to the giants: Using elephant infra-sound to solve the human-elephant conflict
P Dabare, C Suduwella, A Sayakkara, D Sandaruwan, C Keppitiyagama, ...
Proceedings of the 6th ACM Workshop on Real World Wireless Sensor Networks …, 2015
182015
Cutting through the emissions: feature selection from electromagnetic side-channel data for activity detection
A Sayakkara, L Miralles-Pechuán, NA Le-Khac, M Scanlon
Forensic Science International: Digital Investigation 32, 300927, 2020
172020
Eloc: Locating Wild Elephants using Low-cost Infrasonic Detectors
A Sayakkara, N Jayasuriya, T Ranathunga, C Suduwella, N Vithanage, ...
International Conference on Distributed Computing on Sensor Systems, 2017
162017
EMvidence: a framework for digital evidence acquisition from IoT devices through electromagnetic side-channel analysis
A Sayakkara, NA Le-Khac, M Scanlon
Forensic Science International: Digital Investigation 32, 300907, 2020
112020
Systematic Literature Review of EM-SCA Attacks on Encryption
MR Zunaidi, A Sayakkara, M Scanlon
arXiv preprint arXiv:2402.10030, 2024
92024
Self-organized e-Health application using IEEE 11703: An experimental approach
SH Ahmed, A Sayakkara, G Kim, D Kim
Procedia Computer Science 32, 876-881, 2014
92014
Ensuring cross-device portability of electromagnetic side-channel analysis for digital forensics
L Navanesan, NA Le-Khac, M Scanlon, K De Zoysa, AP Sayakkara
Forensic Science International: Digital Investigation 48, 301684, 2024
72024
Electromagnetic side-channel analysis methods for digital forensics on internet of things
A Sayakkara
School of Computer Science, University College Dublin, 2020
72020
Leveraging electromagnetic sidechannel analysis for the investigation of IoT devices. Digit. Invest. 29, S94eS103
A Sayakkara, NA Le-Khac, M Scanlon
72019
A survey of electromagnetic sidechannel attacks and discussion on their case-progressing potential for digital forensics. Digit. Invest. 29, 43e54
A Sayakkara, NA Le-Khac, M Scanlon
72019
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Articles 1–20