IoT Forensics

Title	IoT Forensics
Summary	To achieve a systematic approach for data extraction (i.e., imaging), forensically sound, from the hardware level
Keywords	Internet of Things, Digital Forensics, Hardware ArchitectureProperty "Keywords" has a restricted application area and cannot be used as annotation property by a user.
TimeFrame
References
Prerequisites	Strong Knowledge of Hardware Interface and Chip Reading Tools
Author
Supervisor	Mohamed Eldefrawy and Hazem Ali
Level	Flexible
Status	Open

The Internet of Things (IoT) ecosystem is a significant source of potential digital evidence due to its universal and continuous usage.

The heterogeneity of the IoT environments makes it more challenging to follow a systematic approach when recovering evidence from the IoT ecosystem, which includes end devices, communication networks, and the fog/cloud environment.

This thesis project aims to achieve a systematic approach for data extraction (i.e., imaging), forensically sound, from the hardware level using chip reading tools, such as; (i) Serial Wire Debug (ii) Universal asynchronous receiver-transmitter (UART), (iii) Inter-Integrated Circuit (I2C), (iv) Serial Peripheral Interface (SPI), (iv) Joint Test Action Group (JTAG), and (v) Chip-off. We may use Amazon Alexa Echo, Google Home, or any other connected application as a use case.

Students may have a co-supervision through the National Forensics Center (NFC).