Title: A fuzzy logic approach for detecting redirection spam

Authors: Kanchan Hans; Laxmi Ahuja; S.K. Muttoo

Addresses: Amity Institute of Information Technology, Amity University, Noida, India ' Amity Institute of Information Technology, Amity University, Noida, India ' Department of Computer Science, University of Delhi, Delhi, India

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.

Keywords: URL redirection; spam detection; fuzzy logic; malware; search engines; web security; JavaScript; iframe; malicious redirections; chained redirections; redirection spam; network security.

DOI: 10.1504/IJESDF.2016.077435

International Journal of Electronic Security and Digital Forensics, 2016 Vol.8 No.3, pp.191 - 204

Received: 18 Jun 2015
Accepted: 30 Sep 2015

Published online: 30 Jun 2016 *

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