Spam host classification using swarm intelligence

Web Spam, or Spamdexing, is a form of Search Engine Optimization(SEO) spamming that hinders the efficiency of search engines. These types of exploits use unethical methods in order to place a web page into the first rank. Sabotaging the quality of the results retrieved by search engines can lead users to mistrust the search engine provider. Moreover, spam websites can be a starting point for phishing or malware attacks. Over the last decade Web Spamming has become an important problem. This paper shows a spam host detection approach that uses swarm intelligence. We test our model on two datasets (WEBSPAM-UK2011 and WEBSPAM-UK2007) and show that it can obtain a good accuracy. Moreover, we compared our approach with other popular classifiers (C4.5, SVM and Logistic Regression ) and empirically demonstrated that it can outperform them in some cases.