Assessing Information Quality in IoT Forensics: Theoretical Framework and Model Implementation
This paper tackles the problem of ensuring reliable digital evidence for forensic investigators dealing with the complex and varied landscape of IoT devices.
This paper addresses the challenge of information quality in IoT forensics, which is complicated by the variety of IoT devices, network vulnerabilities, and cloud data storage. It proposes a formal framework to assess the information quality of IoT devices for forensic analysis.
IoT technologies pose serious challenges to digital Forensics. The acquisition of digital evidence is hindered by the number and extreme variety of IoT items, often lacking physical interfaces, connected in unprotected networks, feeding data to uncontrolled cloud services. In this paper we address "Information Quality" in IoT Forensics, taking into account different levels of complexity and included human factors. After drawing a theoretical framework on data quality and information quality, we focus on forensic analysis challenges in IoT environments, providing a use case of evidence collection for investigative purposes. At the end, we propose a formal framework for assessing information quality of IoT devices for Forensics analysis.