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Use of the Dempster-Shafer Theory for Fraud Detection: The Mobile Money Transfer Case Study

机译：使用Dempster-Shafer理论进行欺诈检测：移动汇款案例研究

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摘要

Security Information and Event Management (SIEM) systems are largely used to process logs generated by both hardware and software devices to assess the security level of service infrastructures. This log-based security analysis consists in correlating massive amounts of information in order to detect attacks and intrusions. In order to make this analysis more accurate and effective we propose an approach based on the Dempster-Shafer theory, that allows for combining evidence from multiple and heterogeneous data sources and get to a degree of belief that takes into account all the available evidence. The proposed approach has been validated with the respect to a challenging demonstration case, namely the detection of frauds performed against a Mobile Money Transfer service. An extensive simulation campaign has been executed to assess the performance of the proposed approach and the experimental results are presented in this paper.
机译：安全信息和事件管理（SIEM）系统主要用于处理由硬件和软件设备生​​成的日志，以评估服务基础结构的安全级别。这种基于日志的安全性分析包括关联大量信息，以检测攻击和入侵。为了使此分析更加准确和有效，我们提出了一种基于Dempster-Shafer理论的方法，该方法允许组合来自多个异构数据源的证据，并在一定程度上考虑所有可用证据。相对于具有挑战性的示范案例，即针对移动汇款服务执行的欺诈行为的检测，所提出的方法已得到验证。已经进行了广泛的模拟运动以评估所提出方法的性能，并且本文给出了实验结果。

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  • 会议地点 Madrid(ES)
  • 作者

    Luigi Coppolino; Salvatore DAntonio; Valerio Formicola; Carmine Massei; Luigi Romano;

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    University of Naples Parthenope, Department of Engineering Naples, Italy;

    University of Naples Parthenope, Department of Engineering Naples, Italy;

    University of Naples Parthenope, Department of Engineering Naples, Italy;

    University of Naples Parthenope, Department of Engineering Naples, Italy;

    University of Naples Parthenope, Department of Engineering Naples, Italy;

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