SURF: detecting and measuring search poisoning

12 years 7 months ago
SURF: detecting and measuring search poisoning
Search engine optimization (SEO) techniques are often abused to promote websites among search results. This is a practice known as blackhat SEO. In this paper we tackle a newly emerging and especially aggressive class of blackhat SEO, namely search poisoning. Unlike other blackhat SEO techniques, which typically attempt to promote a website’s ranking only under a limited set of search keywords relevant to the website’s content, search poisoning techniques disregard any term relevance constraint and are employed to poison popular search keywords with the sole purpose of diverting large numbers of users to short-lived traffic-hungry websites for malicious purposes. To accurately detect search poisoning cases, we designed a novel detection system called SURF. SURF runs as a browser component to extract a number of robust (i.e., difficult to evade) detection features from search-then-visit browsing sessions, and is able to accurately classify malicious search user redirections resul...
Long Lu, Roberto Perdisci, Wenke Lee
Added 13 Dec 2011
Updated 13 Dec 2011
Type Journal
Year 2011
Where CCS
Authors Long Lu, Roberto Perdisci, Wenke Lee
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