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Sensors 2018, 18(2), 492; https://doi.org/10.3390/s18020492

IoT-Forensics Meets Privacy: Towards Cooperative Digital Investigations

Network, Information and Computer Security (NICS) Lab, University of Malaga, 29071 Malaga, Spain
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Received: 28 December 2017 / Revised: 25 January 2018 / Accepted: 4 February 2018 / Published: 7 February 2018
(This article belongs to the Special Issue Security, Trust and Privacy for Sensor Networks)
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Abstract

IoT-Forensics is a novel paradigm for the acquisition of electronic evidence whose operation is conditioned by the peculiarities of the Internet of Things (IoT) context. As a branch of computer forensics, this discipline respects the most basic forensic principles of preservation, traceability, documentation, and authorization. The digital witness approach also promotes such principles in the context of the IoT while allowing personal devices to cooperate in digital investigations by voluntarily providing electronic evidence to the authorities. However, this solution is highly dependent on the willingness of citizens to collaborate and they may be reluctant to do so if the sensitive information within their personal devices is not sufficiently protected when shared with the investigators. In this paper, we provide the digital witness approach with a methodology that enables citizens to share their data with some privacy guarantees. We apply the PRoFIT methodology, originally defined for IoT-Forensics environments, to the digital witness approach in order to unleash its full potential. Finally, we show the feasibility of a PRoFIT-compliant digital witness with two use cases. View Full-Text
Keywords: IoT-forensics; digital witness; privacy IoT-forensics; digital witness; privacy
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Nieto, A.; Rios, R.; Lopez, J. IoT-Forensics Meets Privacy: Towards Cooperative Digital Investigations. Sensors 2018, 18, 492.

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