Results 141 to 150 of about 1,135 (168)
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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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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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PhishZoo: Detecting Phishing Websites by Looking at Them
2011 IEEE Fifth International Conference on Semantic Computing, 2011Phishing is a security attack that involves obtaining sensitive or otherwise private data by presenting oneself as a trustworthy entity. Phishers often exploit users' trust on the appearance of a site by using web pages that are visually similar to an authentic site. This paper proposes a phishing detection approach -- PhishZoo -- that uses profiles of
Sadia Afroz 0001, Rachel Greenstadt
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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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Phishing Websites, Detection and Analysis: A Survey
2021Phishing is the despicable utilization of electronic interchanges to trick clients. Phishing assaults resolve to increase delicate data like usernames, passwords, MasterCard information, network qualifications, and the sky is the limit from there. Phishing assaults endeavor to increase touchy, secret data, for example, usernames, passwords, charge card
Leena I. Sakri +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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A Self-training Method for Detection of Phishing Websites
2018Phishing detection based on machine learning always lacks training data with high confidence labels. In order to reduce the impact of lack of labels on training set on performance to phishing detection, this paper proposes an improved self-training method of semi-supervised learning.
Xue-peng Jia, Xiao-feng Rong
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Real time detection of phishing websites
2016 IEEE 7th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 2016Web Spoofing lures the user to interact with the fake websites rather than the real ones. The main objective of this attack is to steal the sensitive information from the users. The attacker creates a ‘shadow’ website that looks similar to the legitimate website.
Abdulghani Ali Ahmed +1 more
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Phishing Website Detection using Deep Learning
Proceedings of the 2nd International Conference on Computing Advancements, 2022Md. Abu Ashraf Siddiq +2 more
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