Detecting Cloaking Web Spam Using Hash Function
Shekoofeh Ghiam, Alireza Nemaney Pour · Computer Science and Information Technology · 2013
Web spam is an attempt to boost the ranking of special pages in search engine results. Cloaking is a kind of spamming technique. Previous cloaking detection methods based on terms/links differences between crawler and browser's copies are not accurate enough. The latest technique is tag-based method. This method could find cloaked pages better than previous algorithms. However, addressing the content of web pages provides more accurate results. This paper proposes an algorithm, working based on term differences between crawler and browser's copies. In addition, dynamic cloaking, which is a new and complicated kind of cloaking, is addressed. In order to increase the speed of comparison, we introduce hash value, calculated by Hash Function. The proposed algorithm has been tested with a data set of URLs. Experimental results indicate that our algorithm outperforms previous methods in both precision and recall. We estimate that about 9% of all URLs in data set utilize static cloaking and about 2% of all URLs utilize dynamic cloaking.