The application of a novel neural network in the detection of phishing websites
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-018-0786-3
Abstract: In recent years, security incidents of website occur increasingly frequently, and this motivates us to study websites’ security. Although there are many phishing detection approaches to detect phishing websites, the detection accuracy has not been… read more here.
Keywords: phishing detection; detection; detection model; phishing websites ... See more keywords
Characteristics of Understanding URLs and Domain Names Features: The Detection of Phishing Websites With Machine Learning Methods
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DOI: 10.1109/access.2022.3223111
Abstract: Along with the means of communication, it has also prompted the birth of more harmful, and challenging websites in the device of information systems, and electronics. According to current estimates, you can deal with a… read more here.
Keywords: domain names; urls domain; understanding urls; phishing websites ... See more keywords
Sufficiency of Ensemble Machine Learning Methods for Phishing Websites Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3224781
Abstract: Phishing is a kind of worldwide spread cybercrime that uses disguised websites to trick users into downloading malware or providing personally sensitive information to attackers. With the rapid development of artificial intelligence, more and more… read more here.
Keywords: sufficiency ensemble; machine; machine learning; phishing websites ... See more keywords
Phishing or Not Phishing? A Survey on the Detection of Phishing Websites
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DOI: 10.1109/access.2023.3247135
Abstract: Phishing is a security threat with serious effects on individuals as well as on the targeted brands. Although this threat has been around for quite a long time, it is still very active and successful.… read more here.
Keywords: phishing phishing; phishing survey; detection phishing; phishing websites ... See more keywords
Intelligent Visual Similarity-Based Phishing Websites Detection
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DOI: 10.3390/sym12101681
Abstract: This work proposes an intelligent visual technique for detecting phishing websites. The phishing websites are classified into three categories: very similar, local similar, and non-imitating. For cases of ‘very similar’, this study uses the wavelet… read more here.
Keywords: similarity based; similarity; intelligent visual; phishing websites ... See more keywords