White Papers

P2P-Based Collaborative Spam Detection and Filtering

Overview Spam is one of the major problems of today email systems. While many solutions have been proposed to automatically detect and filter spam, spammers are getting more and more technically sophisticated and aware of internal workings of anti-spam systems, finding ways to disguise their emails to get around the different controls that can be enforced. This paper proposes a decentralized privacy-preserving approach to spam filtering. The solution exploits robust digests to identify messages that are a slight variation of one another and a structured peer-to-peer architecture between mail servers to collaboratively share knowledge about spam.

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Publisher
Universita degli Studi di Milano
File Format
PDF
Date Published
Oct 14, 2008
Format
White Papers
Topics
Spam - E-mail Fraud - Phishing, File and Network Servers, Network Design

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