Application of Stylometry to DarkWeb Forum User Identification
Application of Stylometry to DarkWeb Forum User Identification
复制标题
文体测量法在暗网论坛用户识别中的应用
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
W. Ng
中科院分区：
文献类型：
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作者：
Thanh;W. Ng
近年来，网络空间的快速增长为犯罪分子提供了一个方便的渠道来做他们的非法业务，特别是在暗网-互联网的隐藏面。暗网论坛的匿名性使其成为犯罪讨论的理想环境。从政府、安全机构到金融机构，许多方面都愿意通过这些在线对话追踪嫌疑人的身份。暗网参与者通常在不同的论坛上有多个账户。在很多情况下，能够以足够高的置信度验证不同暗网论坛上的多个帐户属于同一个人，这使我们能够将各种分散的信息联合收割机组合成更具体和更高级的知识形式。这些知识将导致可采取行动的见解，这对将罪犯绳之以法非常有用。在本文中，我们研究了写作风格分析（风格测量法）在不同暗网论坛中链接多个帐户的有效性。初步评估表明，所提出的方法是可行的，有很大的潜力，以协助调查人员在网络环境中暴露匿名身份。
The fast growth of the cyberspace in recent years has served as a convenient channel for criminals to do their illegal businesses, especially in Dark Web - the hidden side of the Internet. The anonymous nature of Dark Web forums makes them ideal environments for criminal discussions. Ranging from government, security agencies to financial institutions, many parties are willing to trace the identities of the suspects through these online conversations. Dark Web participants usually have multiple accounts on various forums. On multiple occasions, being able to validate that multiple accounts on different Dark Web forums belong to the same person with high enough confidence allows us to combine various scattering pieces of information into a more concrete and advanced form of knowledge. Such knowledge will lead to actionable insights which are very useful for bringing the criminals to justice. In this paper, we examine the effectiveness of writing style analysis (stylometry) for linking multiple accounts in different Dark Web forums. Initial evaluations have shown that the proposed methodology is promisingly practicable, having a high potential to assist the investigators in exposing anonymous identities in cyber environments.