From digital forensic report to Bayesian network representation

机译：从数字取证报告到贝叶斯网络表示

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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.

机译：计算机（数字）法医检查员通常会编写一份报告以记录检查过程，包括使用的工具，主要处理步骤，调查结果摘要以及导出到外部媒体（CD，DVD，纸质副本）供案件调查员或律师使用。但是，对提取的证据的重要性进行正确的解释通常需要与审查员进行额外协商。本文提出了一种实用的方法，用于使用贝叶斯网络（BNs）将典型的法医报告中的发现转换为图形表示。 BN具有以下优点：（1）描绘报告中描述的相关证据之间的因果关系；（2）使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。一份真实的法医报告可证明这种方法。

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《Intelligence and Security Informatics, 2009. ISI '09》|2009年|303-306|共4页
会议地点 Dallas TX(US);Dallas TX(US)
作者
Lee R.; Sheau-Dong Lang; Stenger K.;
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Sch. of Electr. Eng. Comput. Sci., Univ. of Central Florida, Orlando, FL, USA;

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关键词
belief networks; security of data; Bayesian network representation; computer forensic examiners; digital forensic report; graphical representation; typical forensic reports; Bayesian networks; computer forensics; digital evidence; digital forensics; forensic report;

机译：信念网络;数据安全性;贝叶斯网络表示;计算机取证检查员;数字取证报告;图形表示;典型取证报告;贝叶斯网络;计算机取证;数字证据;数字取证;取证报告;

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专利

1. FUZZY BAYESIAN NETWORKS-A GENERAL FORMALISM FOR REPRESENTATION, INFERENCE AND LEARNING WITH HYBRID BAYESIAN NETWORKS [J] . HEPING PAN International Journal of Pattern Recognition and Artificial Intelligence . 2000,第7期

机译：模糊贝叶斯网络-混合贝叶斯网络表示，推理和学习的一般形式
2. Implementing statistical learning methods through Bayesian networks (Part 2): Bayesian evaluations for results of black toner analyses in forensic document examination. [J] . Biedermann A, Taroni F, Bozza S, Forensic science international . 2011,第1a3期

机译：通过贝叶斯网络实施统计学习方法（第2部分）：对法证文件检查中黑色碳粉分析结果的贝叶斯评估。
3. Implementing statistical learning methods through Bayesian networks (Part 2): Bayesian evaluations for results of black toner analyses in forensic document examination. [J] . Biedermann A, Taroni F, Bozza S, Forensic science international . 2011,第1a3期

机译：通过贝叶斯网络实施统计学习方法（第2部分）：对法医文献检查中黑色碳粉分析结果的贝叶斯评估。
4. From Digital Forensic Report to Bayesian Network Representation [C] . Robert Lee, Sheau-Dong Lang, Kevin Stenger IEEE International Conference on Intelligence and Security Informatics . 2009

机译：从数字法医报告到贝叶斯网络表示
5. Distributed digital forensics on pre-existing internal networks. [D] . Nielsen, Jeremiah J. 2013

机译：预先存在的内部网络上的分布式数字取证。
6. Predictive Model Markup Language (PMML) Representation of Bayesian Networks: An Application in Manufacturing [O] . Saideep Nannapaneni, Anantha Narayanan, Ronay Ak, -1

机译：贝叶斯网络的预测模型标记语言（PMML）表示：在制造业中的应用
7. Sensitivity analysis of a Bayesian network for reasoning about digital forensic evidence [O] . Overill RE, Lai PKY, Law FYW, 2010

机译：贝叶斯网络对数字取证证据推理的敏感性分析
8. Virtual Representation of IID Observations in Bayesian Belief Networks. [R] . Mislevy, R. J. 1994

机译：贝叶斯信念网络中IID观测的虚拟表示。

From digital forensic report to Bayesian network representation

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