NICRSep 6, 2019

IoT Forensic -- A digital investigation framework for IoT systems

arXiv:1909.02815v131 citations
Originality Synthesis-oriented
AI Analysis

This work addresses security and forensic challenges for IoT systems, but it appears incremental as it focuses on developing a framework without specifying novel breakthroughs.

The paper tackles the problem of investigating IoT-related crimes by proposing a digital investigation framework for IoT systems, aiming to support digital investigations and address emerging challenges in IoT forensics.

Security issues, threats, and attacks in relation with the IoT have been identified as promising and challenging area of research. Eventually, the need for a forensics methodology for investigating IoT-related crime is therefore essential. However, the IoT poses many challenges for forensics investigators. These include the wide range and variety of information, the unclear lines of differentiation between networks, for example private networks increasingly fading into public networks. Further, integration of a large number of objects in IoT forensic interest, along with the relevance of identified and collected devices makes forensic of IoT devices more complicated. The scope of this paper is to present a framework for IoT forensic. We aimed at the study and development of the link to support digital investigations of IoT devices and tackle emerging challenges in digital forensics. We emphasize on various steps for digital forensic with respect to IoT devices.

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