White Papers

MailRank: Using Ranking for Spam Detection

Category: Software and Web Development, Security

Overview This paper investigates the feasibility of MailRank, a new email ranking and classification scheme exploiting the social communication network created via email interactions. The underlying email network data is collected from the email contacts of all MailRank users and updated automatically based on their email activities to achieve an easy maintenance. MailRank is used to rate the sender address of arriving emails such that emails from trustworthy senders can be ranked and classified as spam or non-spam. The paper presents two variants: Basic MailRank computes a global reputation score for each email address, whereas in Personalized MailRank the score of each email address is different for each MailRank user.

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Publisher: Association for Computing Machinery
File Format: PDF
Date Published: Oct 14, 2008
Format: White Papers
Topics: Spam - E-mail Fraud - Phishing, Email

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Association for Computing Machinery White Papers

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