White Papers
SpamRank - Fully Automatic Link Spam Detection: Work in Progress
Overview Spammers intend to increase the PageRank of certain spam pages by creating a large number of links pointing to them. This paper proposes a novel method based on the concept of personalized PageRank that detects pages with an undeserved high PageRank value without the need of any kind of white or blacklists or other means of human intervention. They assume that spammed pages have a biased distribution of pages that contribute to the undeserved high PageRank value. They define SpamRank by penalizing pages that originate a suspicious PageRank share and personalizing PageRank on the penalties.
- Publisher
- MTA SZTAKI
- File Format
- Date Published
- Oct 14, 2008
- Format
- White Papers
- Topics
- Spam - E-mail Fraud - Phishing, Network Security
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