| 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 | 167 | 2019 |
| 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 | 127 | 2020 |
| Leveraging electromagnetic side-channel analysis for the investigation of IoT devices A Sayakkara, NA Le-Khac, M Scanlon Digital Investigation 29, S94-S103, 2019 | 94 | 2019 |
| Electromagnetic side-channel analysis for iot forensics: Challenges, framework, and datasets AP Sayakkara, NA Le-Khac Ieee Access 9, 113585-113598, 2021 | 36 | 2021 |
| 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 | 29 | 2018 |
| 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 | 27 | 2018 |
| 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 | 26 | 2020 |
| 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 | 20 | 2021 |
| 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 | 19 | 2021 |
| 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 | 18 | 2015 |
| 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 | 17 | 2020 |
| 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 | 16 | 2017 |
| 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 | 11 | 2020 |
| Systematic Literature Review of EM-SCA Attacks on Encryption MR Zunaidi, A Sayakkara, M Scanlon arXiv preprint arXiv:2402.10030, 2024 | 9 | 2024 |
| 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 | 9 | 2014 |
| 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 | 7 | 2024 |
| Electromagnetic side-channel analysis methods for digital forensics on internet of things A Sayakkara School of Computer Science, University College Dublin, 2020 | 7 | 2020 |
| Leveraging electromagnetic sidechannel analysis for the investigation of IoT devices. Digit. Invest. 29, S94eS103 A Sayakkara, NA Le-Khac, M Scanlon | 7 | 2019 |
| 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 | 7 | 2019 |
Mark ScanlonAssociate Professor in Forensic Computing and Cybercrime Investigaton, University College DublinVerified email at ucd.ie
