Cclab: Created page with "{{StudentProjectTemplate |Summary=To achieve a systematic approach for data extraction (i.e., imaging), forensically sound, from the hardware level |Keywords=Internet of Thing..."

2022-10-19T10:04:27Z

Created page with "{{StudentProjectTemplate |Summary=To achieve a systematic approach for data extraction (i.e., imaging), forensically sound, from the hardware level |Keywords=Internet of Thing..."

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{{StudentProjectTemplate
|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
|Prerequisites=Strong Knowledge of Hardware Interface and Chip Reading Tools
|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).

IoT Forensics - Revision history

Cclab: Created page with "{{StudentProjectTemplate |Summary=To achieve a systematic approach for data extraction (i.e., imaging), forensically sound, from the hardware level |Keywords=Internet of Thing..."