An approach of two-way spam detection based on boosting pages analysis

Abstract

Web spam is an attempt to increase rank of inappropriate web pages. Link spam is one of web spam technique which aims for increasing rank by creating artificial popularity of the page by increasing in-links of the page. This task required creating a lot of boosting pages which is a page spammer created for boosting rank of spam page. In this paper, we proposed a technique to detect web spam based on finding these boosting pages instead of web spam page itself. We start from a small set of spam seed pages to find boosting pages. Then web spam pages will be detected using boosting pages. Moreover, we evaluate normal pages to increased the preciseness of our algorithm. Experimental result shows that most of spam pages can be retrieved. Moreover, accuracy of our algorithm can be increased by normal pages analysis.