Assessing Information Quality in IoT Forensics: Theoretical Framework and Model Implementation

TL;DR

This paper develops a theoretical framework and a formal model to assess information quality in IoT devices, addressing forensic challenges posed by IoT's complexity and heterogeneity.

Contribution

It introduces a novel theoretical framework and formal model specifically designed for evaluating IoT information quality in forensic investigations.

Findings

Framework for data and information quality in IoT forensics

Use case demonstrating evidence collection process

Formal assessment model for IoT device information quality

Abstract

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.