Navigating the Complex Landscape of IoT Forensics: Challenges and Emerging Solutions
With the increasing proliferation of the Internet of Things (IoT) devices, digital forensics professionals face numerous challenges while investigating cybercrimes. The vast number of IoT devices, the heterogeneity of their formats, and the diversity of the data they generate make identifying and collecting relevant evidence a daunting task. This research paper explores the complex landscape of IoT forensics, highlighting the major challenges and emerging solutions. We start by listing the available digital forensics models and frameworks. We then delve into evidence management during IoT forensic investigation stages such as Identification, Acquisition, Preservation and Protection, Analysis and Correlation, Attack and Deficit Attribution and lastly, Presentation. Furthermore, we highlight the current challenges, open issues and major security and privacy concerns related to IoT forensics. Finally, we review state-of-the-art IoT forensics, exploring the possible solutions proposed in recent literature. Overall, this paper provides a comprehensive overview of the current IoT forensics ecosystem and the challenges and proposes the latest possible solutions, which are critical for ensuring the security and integrity of IoT-enabled critical infrastructures and can serve as a valuable resource for researchers and practitioners in the field.
Musa, Nura Shifa
Mirza, Nada Masood