A fuzzy logic approach for detecting redirection spam. (2016)

• Record Type: Journal Article
• Authors: Hans, Kanchan; Ahuja, Laxmi; Muttoo, S.K.
• Is Part Of: International journal of electronic security and digital forensics. Volume 8:Number 3(2016)
• Page Start: 191
• Page End: 204
• Publication Date: 2016
• Subjects: URL redirection -- spam detection -- fuzzy logic -- malware -- search engines -- web security -- JavaScript -- iframe -- malicious redirections -- chained redirections -- redirection spam -- network security; Computer crimes -- Periodicals; Computer crimes -- Investigation -- Periodicals; Computer security -- Periodicals; Electronic commerce -- Law and legislation -- Periodicals; Information warfare -- Periodicals; 005.805
• Languages: English
• ISSNs: 1751-911X

Abstract

Redirection spam is a relatively newer technique whereby spammers redirect the search user to an unwanted webpage or download malware on the victim's machine without his consent. Spammers are making use of chained redirections to hide their nefarious activities. Detecting such malicious redirections is of prime importance for maintaining web security. In this paper, we have identified the factors that assist in detecting redirection spam and propose a fuzzy logic-based model for redirection spam detection. We validated our model against a set of URLs and were able to detect the spammed redirections with high accuracy.