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An Email Forensics Analysis Method Based on Social Network Analysis

机译:一种基于社交网络分析的电子邮件取证分析方法

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Computer crime investigation and forensics is an important research work to combat criminal activity in cyberspace. But the complexity of computer criminal groups makes the computer crime forensics to be a challenge. Email is an important communication mean in computer crime communication. So the email forensics is needed to organized crime. This paper proposed an email forensics method based on graph clustering method and social network analysis (SNA). We analyze and mine emails data of the suspicious users' accounts using the new method, which can create email communication network graph for suspicious computer criminal organizations. The algorithm developed can analyze computer organization's structure and core members. The effectiveness of the method proposed has been proved by our experimental data and results. The research may help investigators to find more email evidence and case clues and improve investigators' email forensic capability, especially to the investigation for organized crime.
机译:计算机犯罪调查和取证是打击网络空间中犯罪活动的重要研究工作。但计算机犯罪集团的复杂性使计算机犯罪取证成为一个挑战。电子邮件是计算机犯罪沟通中的一个重要沟通。因此,需要对犯罪进行电子邮件取证。本文提出了一种基于图形聚类方法和社交网络分析(SNA)的电子邮件取证方法。我们使用新方法分析和挖掘可疑用户帐户的电子邮件数据,该方法可以为可疑计算机犯罪组织创建电子邮件通信网络图。该算法可以分析计算机组织的结构和核心成员。提出的方法的有效性已被我们的实验数据和结果证明。该研究可能有助于调查人员查找更多的电子邮件证据和案例线索,并提高调查员的电子邮件取证能力,特别是对有组织犯罪的调查。

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