论文标题
评估物联网取证中的信息质量：理论框架和模型实施
Assessing Information Quality in IoT Forensics: Theoretical Framework and Model Implementation
论文作者
论文摘要
物联网技术对数字取证构成了严重的挑战。数字证据的获取受到了物联网项目的数量和极端种类的阻碍，这些物联网项目通常缺乏物理接口，该物理界面连接在未受保护的网络中，将数据馈送到不受控制的云服务。在本文中，我们考虑了不同水平的复杂性并包括人为因素，我们将在物联网取证中解决“信息质量”。在制定了有关数据质量和信息质量的理论框架之后，我们将重点放在物联网环境中的法医分析挑战上，为调查目的提供了证据收集的用例。最后，我们提出了一个正式框架，用于评估物联网设备的信息质量进行取证分析。
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.
