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. Some commonly used black hat techniques has been characterized and proposed a new way to counter those techniques using link based spam detection combined with the page rank algorithm. This technique enhances discovering of the target page and tracing down the entire graph responsible for spreading spam and it investigates the problem of protecting privacy for publishing search engine logs. With the exponential growth of the available information on the WWW, current search engines do not just store and index web pages, they also store and mine information about their users. Hence the attackers can actively influence the search log and therefore the privacy of the user is lost. A novel algorithm called ZEALOUS has been introduced to publish privacy guaranteed search logs. The result of this paper filter out the malicious sites from the search results and enables the search logs available without disclosing their user's sensitive information.

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