Link Spam Detection based on DBSpamClust with Fuzzy C-means Clustering

Details Link Spam Detection based on DBSpamClust with Fuzzy C-means Clustering Link Spam Detection based on DBSpamClust with Fuzzy C-means Clustering

2010-12-31

arxiv.org/abs/1101.0198v1

International Journal of Next-Generation Networks (IJNGN) Vol.2, No.4, December 2010

Computer Science

Information Retrieval

10 PAGES 6 FIGURES

Scientific paper

10.5121/ijngn.2010.2401

Search engine became omnipresent means for ingoing to the web. Spamming Search engine is the technique to deceiving the ranking in search engine and it inflates the ranking. Web spammers have taken advantage of the vulnerability of link based ranking algorithms by creating many artificial references or links in order to acquire higher-than-deserved ranking n search engines' results. Link based algorithms such as PageRank, HITS utilizes the structural details of the hyperlinks for ranking the content in the web. In this paper an algorithm DBSpamClust is proposed for link spam detection. As showing through experiments such a method can filter out web spam effectively

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