执法部门的三角分类策略以减少数字法医积压

Da-Yu Kao, Ni-Chen Wu, Fuching Tsai
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引用次数: 3

摘要

计算机技术的爆炸性增长创造了许多电子数据,并产生了许多人们生活的数字证据。随着技术的进步,用于网络犯罪调查的数据量以前所未有的速度增长,这给执法机构(LEAs)带来了困境。本研究讨论了数字证据的兴起和数字法医处理中的分诊需求。这需要在现场或实验室对所有可用的数据进行认真的检查,以便在法庭上提供数字证据。为了保持数字证据的相关性、可靠性和充分性,调查人员必须建立一个能够在现场提供快速响应的流程模型。本研究提出了数字取证组件的新型三角分类策略,并从THOR维度的角度说明了TEAR阶段,以描述识别、收集、获取和保存数字数据的适当实践。它促进了减少LEAs的数字取证积压的效率和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Triage Triangle Strategy for Law Enforcement to Reduce Digital Forensic Backlogs
The explosive growth of computer technologies creates many electronic data and produces much digital evidence of people's lives. As technology has improved, the volume of data for cybercrime investigation keeps growing at unprecedented rates and creating a quandary for Law Enforcement Agencies (LEAs). This study discusses the rise of digital evidence and the triage needs in digital forensic processing. It requires the sincere examination of all available data volumes at the scene or in the lab to present digital evidence in a court of law. In order to maintain the relevance, reliability, and sufficiency of digital evidence, investigators must establish a process model that can provide a quick response at the scene. This study proposes the novel triage triangle strategy of digital forensic components and illustrates TEAR phases from the viewpoint of THOR dimensions to describe the proper practices for identifying, collecting, acquiring, and preserving the digital data. It facilitates the efficiency and effectiveness of reducing digital forensic backlogs for LEAs.
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