Reputation-Based Approach for Efficient Filtration of Spam

In this paper, we describe the collaborative, reputation-based approach to fighting spam that has been developed by Cloudmark. Two core components of our technology are described in depth, namely the Global Threat Network and the Trust Evaluation System. The Global Threat Network rapidly gathers and correlates reports of suspect messages from millions of globally-distributed honeypots, customers, and various other sensors. The Cloudmark Trust Evaluation System (TES) analyzes the reports, assigns a reputation to the suspect messages based upon the reputation of the reporters, and then determines a new reputation for each reporter based upon their historical performance at correctly identifying unwanted content. Because the reputation-based collaborative system does not draw blanket conclusions about terms, hosts, or people, this approach reduces false positives and false criticals, while simultaneously decreasing administration costs.

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