Computer crimes--Investigation, Internet of things
Computer Engineering | Computer Sciences | Electrical and Computer Engineering | Forensic Science and Technology | Information Security
IoT device forensics is a difficult problem given that manufactured IoT devices are not standardized, many store little to no historical data, and are always connected; making them extremely volatile. The goal of this paper was to address these challenges by presenting a primary account for a general framework and practical approach we term Forensic State Acquisition from Internet of Things (FSAIoT). We argue that by leveraging the acquisition of the state of IoT devices (e.g. if an IoT lock is open or locked), it becomes possible to paint a clear picture of events that have occurred. To this end, FSAIoT consists of a centralized Forensic State Acquisition Controller (FSAC) employed in three state collection modes: controller to IoT device, controller to cloud, and controller to controller. We present a proof of concept implementation using openHAB -- a device agnostic open source IoT device controller -- and self-created scripts, to resemble a FSAC implementation. Our proof of concept employed an Insteon IP Camera as a controller to device test, an Insteon Hub as a controller to controller test, and a nest thermostat for a a controller to cloud test. Our findings show that it is possible to practically pull forensically relevant state data from IoT devices. Future work and open research problems are shared.
Meffert, Christopher S.; Clark, Devon R.; Baggili, Ibrahim; and Breitinger, Frank, "Forensic State Acquisition from Internet of Things (FSAIoT): A General Framework and Practical Approach for IoT Forensics through IoT Device State Acquisition" (2017). Electrical & Computer Engineering and Computer Science Faculty Publications. 74.
Christopher Meffert, Devon Clark, Ibrahim Baggili, and Frank Breitinger. 2017. Forensic State Acquisition from Internet of Things (FSAIoT): A general framework and practical approach for IoT forensics through IoT device state acquisition. In Proceedings of ARES ’17, Reggio Calabria, Italy, August 29- September 01, 2017, 11 pages.