Forensically analyzing IoT smart camera using MAoIDFF-IoT framework

Abstract

IoT devices spread over a wide range of applications these days, and its vast amount of data generated becomes a target for intruders. IoT digital forensics which involves extracting the digital evidence from the IoT device itself and/or its network traffic using a framework is important and challenging. The challenges include the diversity types of IoT devices, resource constraints, and users’ privacy. In this article, we focus on network forensics investigations of a smart camera traffic as a case study. The investigation process followed the MAoIDFF-IoT framework, a comprehensive and effective framework for IoT devices, and focusing on the locations of potential Artifacts of Interest (AoI). In addition, few scenarios in using the camera are investigated to obtain a valuable artifact. The results show that it is possible to extract some artifacts from the network captured traffic even though the traffic is encrypted. Moreover, this research offers guidelines for digital investigators to conduct network forensics on smart camera devices, with detailed results provided.