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  • 标题:Relating Admissibility Standards for Digital Evidence to Attack Scenario Reconstruction
  • 本地全文:下载
  • 作者:Liu, Changwei ; Singhal, Anoop ; Wijesekera, Duminda
  • 期刊名称:Journal of Digital Forensics, Security and Law
  • 印刷版ISSN:1558-7215
  • 电子版ISSN:1558-7223
  • 出版年度:2014
  • 卷号:9
  • 期号:2
  • 页码:15
  • 出版社:Association of Digital Forensics, Security and Law
  • 摘要:Attackers tend to use complex techniques such as combining multi-step, multi-stage attack with anti-forensic tools to make it difficult to find incriminating evidence and reconstruct attack scenarios that can stand up to the expected level of evidence admissibility in a court of law. As a solution, we propose to integrate the legal aspects of evidence correlation into a Prolog based reasoner to address the admissibility requirements by creating most probable attack scenarios that satisfy admissibility standards for substantiating evidence. Using a prototype implementation, we show how evidence extracted by using forensic tools can be integrated with legal reasoning to reconstruct network attack scenarios. Our experiment shows this implemented reasoner can provide pre-estimate of admissibility on a digital crime towards an attacked network.
  • 关键词:forensics; electronic crime; digital evidence; admissibility; network attack scenario; evidence graph
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