从数字取证报告到贝叶斯网络表示

Robert Lee, S. Lang, Kevin Stenger
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引用次数: 6

摘要

计算机(数字)法医审查员通常会写一份报告来记录检查过程,包括使用的工具、主要处理步骤、发现的摘要,以及导出到外部媒体(CD、DVD、硬拷贝)的相关证据(文件、文物)的详细清单,以供案件调查员或律师使用。然而,正确解释提取证据的重要性往往需要与审查员进行额外的磋商。本文提出了一种实用的方法,将典型的法医报告中的发现转化为使用贝叶斯网络(BNs)的图形表示。BNs具有以下优势:(1)描述报告中描述的相关证据之间的因果关系;(2)利用概率和建立的贝叶斯推理规则来处理数字证据的不确定性。一份现实的法医报告被用来证明这种方法。
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From digital forensic report to Bayesian network representation
Computer (digital) forensic examiners typically write a report to document the examination process, including tools used, major processing steps, summary of the findings, and a detailed listing of relevant evidence (files, artifacts) exported to external media (CD, DVD, hard copy) for the case investigator or attorney. However, proper interpretation of the significance of extracted evidence often requires additional consultation with the examiner. This paper proposes a practical methodology for transforming the findings in typical forensic reports to a graphical representation using Bayesian networks (BNs). BNs offer the following advantages: (1) Delineate the cause-effect relationship among relevant pieces of evidence described in the report; and (2) Use probability and established Bayesian inference rules to deal with uncertainty of digital evidence. A realistic forensic report is used to demonstrate this methodology.
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