Asanka Priyadarshana Sayakkara

The domain of digital forensics deals with providing digital evidences to support legal cases. The traditional digital forensic practice involves analyzing the file system data from a suspect computer to extract digital evidences. The emerging trend of Internet of Things (IoT) being used in day-to-day life has broadened the horizon of digital forensics. While IoT device data are already being used as sigital evidences nowadays, most of these data are extracted from smart-phones and cloud servers to which IoT devices are constantly connected. Due to lack of non-intrusive methods to reliably inspect internal activities of IoT devices, they are not directly inspected in digital forensic investigations. This situation leaves a possibility for any maliciously altered IoT device to tamper digital evidences. This research project investigates the potential of using electromagnetic side-channel analysis (EM-SCA) techniques as a nonintrusive way to accurately and efficiently inspect internal software activities of IoT devices in order to extract forensically useful insights that can help to advance an investigation.