White Papers

Characterizing Web Spam Using Content and HTTP Session Analysis

Overview Web spam research has been hampered by a lack of statistically significant collections. This paper performs the first large-scale characterization of web spam using content and HTTP session analysis techniques on the Webb Spam Corpus - a collection of about 350,000 web spam pages. Their content analysis results are consistent with the hypothesis that web spam pages are different from normal web pages, showing far more duplication of physical content and URL redirections. An analysis of session information collected during the crawling of the Webb Spam Corpus shows significant concentration of hosting IP addresses in two narrow ranges as well as significant overlaps among session header values.

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Publisher: Georgia Institute of Technology
File Format: PDF
Date Published: Jul 1, 2009
Format: White Papers
Topics: Spam - E-mail Fraud - Phishing, Network Security, Security Management

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