P2P-based collaborative spam detection and filtering

Ernesto Damiani, Sabrina De Capitani Di Vimercati, Stefane Paraboschi, Pierangela Samarati

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

84 Scopus citations

Abstract

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. In this paper, we propose a decentralized privacy-preserving approach to spam filtering. Our 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.

Original languageBritish English
Title of host publicationProceedings - 4th International Conference on Peer-to-Peer Computing, P2P2004
PublisherIEEE Computer Society
Pages176-183
Number of pages8
ISBN (Print)0769521568, 9780769521565
DOIs
StatePublished - 2004
EventProceedings - Fourth International Conference on Peer-to-Peer Computing, P2P2004 - Zurich, Switzerland
Duration: 25 Aug 200427 Aug 2004

Publication series

NameProceedings - 4th International Conference on Peer-to-Peer Computing, P2P2004

Conference

ConferenceProceedings - Fourth International Conference on Peer-to-Peer Computing, P2P2004
Country/TerritorySwitzerland
CityZurich
Period25/08/0427/08/04

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