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Collaborative Spam Filtering Using E-Mail Networks

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5 Author(s)
J. S. Kong ; University of California, Los Angeles ; B. A. Rezaei ; N. Sarshar ; V. P. Roychowdhury
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Widespread Internet use has led to the emergence of several kinds of large-scale social networks in cyberspace, most notably e-mail networks. Unfortunately, the tremendous convenience that e-mail affords comes at a high price: Although the network's underlying connectivity is hidden, making it almost impossible to build a comprehensive directory of every individual's contact lists, e-mail addresses themselves can be easily obtained from publicly available documents. Spammers have exploited this vulnerability to inundate users with unsolicited bulk e-mail. A distributed spam-filtering system that leverages e-mail networks' topological properties is more efficient and scalable than client-server-based solutions. Large-scale simulations of a prototype system reveal that this approach achieves a near-perfect spam-detection rate while minimizing bandwidth cost

Published in:

Computer  (Volume:39 ,  Issue: 8 )