Digital Forensics and Investigation Framework for Industrial IoT (IIoT)
Keywords:
Industrial Internet of Things (IIoT), Digital Forensics, Cybersecurity, Framework, Forensic InvestigationAbstract
The increasing integration of traditional industrial systems with communication technologies in the Industrial Internet of Things (IIoT) has revolutionized industry efficiency. However, this interconnectedness exposes IIoT systems to cyber-based vulnerabilities. There is a lack of a systematic study method for IIoT forensics within existing research. This research investigates current methodologies and challenges in IIoT forensics and aims to propose innovative solutions for effective data collection, analysis, and interpretation within IIoT environments. The primary objective of this research is to propose a framework that can improve the forensic investigation process within the IoT environment. This research employs mixed methods, including a comprehensive literature review of current methods, barriers, and future directions for IoT forensic investigations. It also includes surveying IIoT systems in some organizations and devices to gain insights into their structure, data storage, communication protocols, and possible forensic obstacles. A case study will examine real-life scenarios involving IIoT systems in some organizations in Oman to understand the unique forensic obstacles auditors face. The study is intended to highlight the forensic approach to analysing IIoT systems. It will evaluate IoT forensics tools in terms of time complexity, reliability, ease of usability, and other parameters. The research seeks to contribute to a regulatory framework for Industrial IoT Security, particularly in Oman, and raise awareness about the use of IoT systems. The anticipated outcome is a framework that improves the forensic investigation process within the IoT environment
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