Title :
Perceiving linkspam based on DBSpamClust
Author :
Jayanthi, S.K. ; Sasikala, S.
Author_Institution :
Comput. Sci. Dept., Vellalar Coll. for Women, Erode, India
Abstract :
Search engine became ever-present means for arriving to the web. Spamming Search engine is the technique to mislead 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 in 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, which is an extension of DBSpamClust. As showing through experiments such a method can filter out web spam effectively.
Keywords :
search engines; DBSpamClust+ algorithm; HITS; PageRank; artificial links; artificial references; higher-than-deserved ranking; hyperlink; link spam detection; link vulnerability; linkspam; search engine spamming; web spam filtering; Algorithm design and analysis; Computer science; Conferences; Google; Search engines; Unsolicited electronic mail; Web sites; Authority; DHSpamClust+; HITS; Hub; Link spam; PageRank; Search engine;
Conference_Titel :
Electronics Computer Technology (ICECT), 2011 3rd International Conference on
Conference_Location :
Kanyakumari
Print_ISBN :
978-1-4244-8678-6
Electronic_ISBN :
978-1-4244-8679-3
DOI :
10.1109/ICECTECH.2011.5941951
