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Anti-spam email system in Facebook

机译:Facebook中的反垃圾邮件系统

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Email spam is one of the most critical problems facing social networks and the Internet today. Current anti-spam solutions have common weaknesses of low accuracy and high false positive rates. In this paper, we present an anti-spam mechanism based on social reputation, to successfully block spam collaboration between network participants. Using interconnection relationships within a social network we construct a topology and convert the mail transmission problem into a routing problem based on a trust-updating mechanism with respect to users' feedback. In addition to simulations, we have also implemented our method on the Facebook social network Through this study, we can effectively detect and filter spam E-mail messages, while promoting the development of social network applications.
机译:垃圾电子邮件是当今社交网络和Internet面临的最关键问题之一。当前的反垃圾邮件解决方案的普遍缺陷是准确性低和误报率高。在本文中,我们提出了一种基于社会声誉的反垃圾邮件机制,以成功阻止网络参与者之间的垃圾邮件协作。使用社交网络中的互连关系,我们构建了一个拓扑,并根据有关用户反馈的信任更新机制,将邮件传输问题转换为路由问题。除了模拟之外,我们还在Facebook社交网络上实现了我们的方法。通过这项研究,我们可以有效地检测和过滤垃圾邮件,同时促进社交网络应用程序的发展。

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