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The Forensic Swing of Things: The Current Legal and Technical Challenges of IoT Forensics

Pantaleon, Lutta, Sedky, Mohamed and Hassan, Mohamed (2020) The Forensic Swing of Things: The Current Legal and Technical Challenges of IoT Forensics. In: ICESDF 2020 : International Conference on Electronic Security and Digital Forensics, 29 June 2020, London. (Unpublished)

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Abstract or description

The inability of organizations to put in place management control measures for Internet of Things (IoT) complexities persists to be a risk concern. Policy makers have been left to scamper in finding measures to combat these security and privacy concerns. IoT forensics is a cumbersome process as there is no standardization of the IoT products, no or limited historical data is stored on the devices and them being always connected makes them extremely volatile. This paper highlights why IoT forensics is a unique adventure and brought out the legal challenges encountered in the investigation process. A quadrant model is presented to study the conflicting aspects in IoT forensics. The model analyses the effectiveness of forensic investigation process versus the admissibility of the evidence integrity; taking into account the user privacy and the providers’ compliance with the laws and regulations. Our analysis concludes that a semi-automated forensic process using machine learning, could eliminate the human factor from the profiling and surveillance processes, and hence resolves the issues of data protection (privacy and confidentiality).

Item Type: Conference or Workshop Item (Paper)
Faculty: School of Computing and Digital Technologies > Computing
Event Title: ICESDF 2020 : International Conference on Electronic Security and Digital Forensics
Event Location: London
Event Dates: 29 June 2020
Depositing User: Mohamed SEDKY
Date Deposited: 23 Jun 2020 14:22
Last Modified: 01 Jul 2020 01:38
URI: http://eprints.staffs.ac.uk/id/eprint/6380

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