Counter measures against evolving search engine spamming techniques

Abstract

Search engine spamming is a practice of misleading the search engine and increasing the page rank of undeserving websites. The black hat search engine optimization (SEO) techniques leads to untrustworthy results for search engines. In this paper, we have characterized some commonly used black hat techniques, and we have proposed a new way to counter those techniques using link based spam detection combined with the page rank algorithm. This technique helps us to discover target page and trace down the entire graph responsible for spreading spam.