White Papers

R-SpamRank: A Spam Detection Algorithm Based on Link Analysis

Category: Software and Web Development, Security

Overview Spam web pages intend to achieve higher-than-deserved ranking by various techniques. While human experts could easily identify spam web pages, the manual evaluating process of a large number of pages is still time consuming and cost consuming. To assist manual evaluation, the paper proposes an algorithm to assign spam values to web pages and semi-automatically selects potential spam web pages. They first manually select a small set of spam pages as seeds. Then, based on the link structure of the web, the initial R-SpamRank values assigned to the seed pages propagate through links and distribute among the whole web page set. After sorting the pages according to their R-SpamRank values, the pages with high values are selected.

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Publisher: Tsinghua University
File Format: PDF
Date Published: Jul 1, 2009
Format: White Papers
Topics: Spam - E-mail Fraud - Phishing, Network Security, Software Engineering

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