An Open Digest-based Technique for Spam Detection

Ernesto Damiani, Sabrina De Capitani Di Vimercati, Stefano Paraboschi, Plerangela Samarati

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

54 Scopus citations

Abstract

A promising anti-spam technique consists in collecting users opinions that given email messages are spam and using this collective judgment to block message propagation to other users. To be effective, this strategy requires a way to identify similarity among email messages, even if the program used by the spammer to generate the messages may try to obfuscate their common origin. In this paper, we investigate the issues arising in the design of a digest-based spam detection mechanism, which has to satisfy many conflicting requirements: protect message confidentiality, be public, and prove difficult or expensive to fool by obfuscation techniques that automatically introduce differences into the same base spam message. We show that an open digest function is able to satisfy the above requirements and contribute to the fight against spam.

Original languageBritish English
Title of host publication17th ISCA International Conference on Parallel and Distributed Computing Systems 2004, PDCS 2004
EditorsDavid A. Bader, Ashfaq A. Khokhar
Pages559-564
Number of pages6
ISBN (Electronic)9781618398185
StatePublished - 2004
Event17th International Conference on Parallel and Distributed Computing Systems, PDCS 2004 - San Francisco, United States
Duration: 15 Sep 200417 Sep 2004

Publication series

Name17th ISCA International Conference on Parallel and Distributed Computing Systems 2004, PDCS 2004

Conference

Conference17th International Conference on Parallel and Distributed Computing Systems, PDCS 2004
Country/TerritoryUnited States
CitySan Francisco
Period15/09/0417/09/04

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