Reputation Network Analysis for Email Filtering

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Reputation Network Analysis for Email Filtering (2004)

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by Jennifer Golbeck James , James Hendler

Venue:	In Proc. of the Conference on Email and Anti-Spam (CEAS), Mountain View
Citations:	98 - 7 self

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@INPROCEEDINGS{James04reputationnetwork,
    author = {Jennifer Golbeck James and James Hendler},
    title = {Reputation Network Analysis for Email Filtering},
    booktitle = {In Proc. of the Conference on Email and Anti-Spam (CEAS), Mountain View},
    year = {2004}
}

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Abstract

In addition to traditional spam detection applications, new methods of filtering messages -- including whitelist and social network based filters -- are being investigated to further improve on mail sorting and classification. In this paper, we present an email scoring mechanism based on a social network augmented with reputation ratings. We present an algorithm for inferring reputation ratings between individuals and demonstrate through experiments that it is accurate based on current data. We then integrate those scores into a mail application, TrustMail, to show how they may be used in combination with other techniques for sorting and filtering mail.

Keyphrases

email filtering reputation network analysis social network reputation rating new method mail sorting current data mail application traditional spam detection application

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