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An Intelligent Anti-phishing Strategy Model for Phishing Website Detection
2012 32nd International Conference on Distributed Computing Systems Workshops, 2012As a new form of malicious software, phishing websites appear frequently in recent years, which cause great harm to online financial services and data security. In this paper, we design and implement an intelligent model for detecting phishing websites.
Weiwei Zhuang +2 more
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Detecting Phishing Websites with Random Forest
2018Phishing has been a widespread issue for many years, claiming countless victims, some of which have not even realized that they fell prey. The sole purpose of phishing is to obtain sensitive information from its victims. There have yet to be a consensus on the best way to detect phishing.
Shinelle Hutchinson +2 more
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Phishdentity: Leverage Website Favicon to Offset Polymorphic Phishing Website
2014 Ninth International Conference on Availability, Reliability and Security, 2014Phishing attacks involve the use of fuzzy techniques to create polymorphic phishing web pages to give the impression of legitimate websites. Many websites are subject to the threat of phishing, including financial, social networks, tourism, e-commerce etc.
Jeffrey Choo Soon Fatt +2 more
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Phishing Website Detection as a Website Comparing Problem
SN Computer Science, 2022Minh-Khoi Le-Nguyen +5 more
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An Anti-Phishing Approach that Uses Training Intervention for Phishing Websites Detection
2009 Sixth International Conference on Information Technology: New Generations, 2009Phishing scams have become a problem for online banking and e-commerce users. This paper proposes and evaluates a novel anti-Phishing approach that uses training intervention for Phishing websites detection (APTIPWD). The proposed approach helps users to make correct decisions in distinguishing Phishing and legitimate websites. It brings information to
Abdullah M. Alnajim, Malcolm Munro
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User behaviour based phishing websites detection
2008 International Multiconference on Computer Science and Information Technology, 2008Phishing detection systems are principally based on the analysis of data moving from phishers to victims. In this paper we describe a novel approach to detect phishing websites based on analysis of userspsila online behaviours - i.e., the websites users have visited, and the data users have submitted to those websites.
Xun Dong, John A. Clark, Jeremy L. Jacob
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CatchPhish: detection of phishing websites by inspecting URLs
Journal of Ambient Intelligence and Humanized Computing, 2019There exists many anti-phishing techniques which use source code-based features and third party services to detect the phishing sites. These techniques have some limitations and one of them is that they fail to handle drive-by-downloads. They also use third-party services for the detection of phishing URLs which delay the classification process. Hence,
Routhu Srinivasa Rao +2 more
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Phishing websites detection using a novel multipurpose dataset and web technologies features
Expert Systems With Applications, 2022Manuel Sanchez Paniagua +2 more
exaly
Phishing websites detection via CNN and multi-head self-attention on imbalanced datasets
Computers and Security, 2021Shu-Tao Xia, Guangwu Hu
exaly
Identification of phishing websites through hyperlink analysis and rule extraction
Electronic Library, 2020Yukun Bao, Zhongyi Hu, Raymond Chiong
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