Was the clock correct? Exploring timestamp interpretation through time anchors for digital forensic event reconstruction

IF 2 4区 医学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Forensic Science International-Digital Investigation Pub Date : 2024-07-01 DOI:10.1016/j.fsidi.2024.301759
Céline Vanini , Christopher J. Hargreaves , Harm van Beek , Frank Breitinger
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Abstract

Timestamps and their correct interpretation play a crucial role in digital forensic investigations, particularly when the objective is to establish a timeline of events a.k.a. event reconstruction. However, the way these timestamps are generated heavily depends on an internal clock, or ‘system time’, from which many are derived. Consequently, when this system time is skewed due to tampering, natural clock drift, or system malfunctions, recorded timestamps will not reflect the actual times the (real-world) events occurred. This raises the question of how to validate the correctness of the system clock when recording timestamps and, if found incorrect, how to determine system clock skew. To address this problem, this paper defines several important concepts such as time anchors, anchoring events, non-anchoring events and time anomalies which can be used to determine if the system time was correct. Using two examples - a Google search and a file creation - and comparing correct and skewed versions of the same set of performed actions, we illustrate the use and potential benefits of time anchors to demonstrate the correctness of the system clock for event reconstruction.

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时钟是否正确?通过用于数字取证事件重建的时间锚探索时间戳解释
时间戳及其正确理解在数字取证调查中起着至关重要的作用,尤其是当调查的目的是建立事件的时间线(又称事件重建)时。然而,这些时间戳的生成方式在很大程度上取决于内部时钟或 "系统时间",许多时间戳都是从系统时间中生成的。因此,当系统时间因篡改、自然时钟漂移或系统故障而发生偏差时,记录的时间戳将无法反映(真实世界)事件发生的实际时间。这就提出了一个问题:在记录时间戳时,如何验证系统时钟的正确性;如果发现不正确,如何确定系统时钟偏差。为解决这一问题,本文定义了几个重要概念,如时间锚、锚定事件、非锚定事件和时间异常,可用于确定系统时间是否正确。我们使用两个示例--谷歌搜索和文件创建--并比较了同一组已执行操作的正确版本和偏斜版本,说明了时间锚的使用和潜在优势,以证明系统时钟在事件重建中的正确性。
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来源期刊
CiteScore
5.90
自引率
15.00%
发文量
87
审稿时长
76 days
期刊最新文献
Commentary:- Can I use that tool? Temporal metadata analysis: A learning classifier system approach Uncertainty and error in location traces Competence in digital forensics “What you say in the lab, stays in the lab”: A reflexive thematic analysis of current challenges and future directions of digital forensic investigations in the UK
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