A new algorithm for detection of link spam contributed by zero-out link pages

Abstract

Link spammers are constantly seeking new methods and strategies to deceive the search engine ranking algorithms. The search engines need to come up with new methods and approaches to challenge the link spammers and to maintain the integrity of the ranking algorithms. In this paper, we proposed a methodology to detect link spam contributed by zero-out link or dangling pages. We randomly selected a target page from live web pages, induced link spam according to our proposed methodology, and applied our algorithm to detect the link spam. The detail results from amazon.com pages showed that there was a considerable improvement in their PageRank after the link spam was induced; our proposed method detected the link spam by using eigenvectors and eigenvalues.