工业物联网（IIoT）取证的12步流程
A 12-Step Process for Industrial Internet of Things (IIoT) Forensics
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中文总结 AI 辅助
针对传统数字取证方法难以应对工业物联网（IIoT）环境的问题，本文提出了一种12步流程（TSP），用于IIoT事件的调查及潜在数字证据处理，以提升证据可采性。
中文摘要 AI 辅助
工业物联网（IIoT）在制造业、医疗保健和交通运输等关键基础设施领域的部署日益广泛，给数字取证（DF）带来了新的挑战。传统数字取证方法难以应对IIoT环境的复杂性、规模性和异质性。本文介绍了一种专门针对IIoT事件设计的综合12步流程（TSP），以满足此类动态环境中有效调查和潜在数字证据（PDE）处理的需求。我们首先探讨IIoT的重要性及其在工业生态系统中的作用，随后分析现有的数字取证挑战。该流程从取证准备到调查结束的每一步，都旨在确保可靠的潜在数字证据收集、分析和法律合规性，以提高数字取证场景中证据可采性的概率。
英文摘要
The increasing deployment of the Industrial Internet of Things (IIoT) in critical infrastructure sectors like manufacturing, healthcare, and transportation has shown new challenges for Digital Forensics (DF). Traditional DF methodologies are not well equipped to handle the complexity, scale, and heterogeneity of IIoT environments. This paper introduces a comprehensive Twelve-Step Process (TSP) tailored specifically for IIoT incidents, addressing the need for effective investigation and Potential Digital Evidence (PDE) handling in such dynamic environments in DF. We begin by exploring the importance of IIoT and its role in industrial ecosystems, followed by an examination of existing DF challenges. Each step of the process, from forensic readiness to investigation closure, is designed to ensure robust PDE collection, analysis, and legal compliance to increase chances of admissibility from a DF scenario
