Sayakkara, Asanka P.Asanka P.SayakkaraLe-Khac, Nhien-AnNhien-AnLe-KhacScanlon, MarkMarkScanlon2023-09-202023-09-202020 the A2020-04Forensic Science International: Digital Investigation2666-2817http://hdl.handle.net/10197/24778EM side-channel analysis (EM-SCA) is a branch in information security where the unintentional electromagnetic (EM) emissions from computing devices. This has been used for various purposes including software behaviour detection, software modification detection, malicious software identification, and data extraction. The possibility of applying EM-SCA in digital forensic investigation scenarios involving IoT devices has been proposed recently. When it is difficult or impossible to acquire forensic evidence from an IoT device, observing EM emissions of the device can provide valuable information to an investigator. This work addresses the challenge of making EM-SCA a practical reality to digital forensic investigators by introducing a software framework called EMvidence. The framework is designed to facilitate extensibility through an EM plug-in model.enDigital forensicsElectromagnetic side-channelsSoftware frameworkInternet-of-things (IoT)Machine learningJournal Article32Supplement10.1016/j.fsidi.2020.3009072020-12-02https://creativecommons.org/licenses/by-nc-nd/3.0/ie/