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 Architecture |
| 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).
