doi: 10.7763/IJMLC.2012.V2.207
Clique-Attacks Detection in Web Search Engine for Spamdexing using K-Clique Percolation Technique
S. K. Jayanthi1
,
S. Sasikala2
- 1Department of Computer Science, Vellalar College for women, Erode-12, India.
- 2Department of Computer Science, KSR College of Arts and Science,Tiruchengode-637211, India.
Abstract
Search engines make the information retrieval task easier for the users. Highly ranking position in the search engine query results brings great benefits for websites. Some website owners interpret the link architecture to improve ranks. To handle the search engine spam problems, especially link farm spam, clique identification in the network structure would help a lot. This paper proposes a novel strategy to detect the spam based on K-Clique Percolation method. Data collected from website and classified with NaiveBayes Classification algorithm. The suspicious spam sites are analyzed for clique-attacks. Observations and findings were given regarding the spam. Performance of the system seems to be good in terms of accuracy.
Keywords
- Clique
- link spam
- search engine
- ranking
- search engine optimization
How to Cite
S. K. Jayanthi and S. Sasikala, "Clique-Attacks Detection in Web Search Engine for Spamdexing using K-Clique Percolation Technique," International Journal of Machine Learning, vol. 2, no. 5, pp. 648-653, 2012. https://doi.org/10.7763/IJMLC.2012.V2.207
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).