COMPARATIVE STUDY OF MACHINE LEARNING ALGORITHMS FOR PHISHING WEBSITE DETECTION
Keyword(s):
Phishing is the most commonly approached cyber-attack in this modern era. Through such attacks, the phisher will target the innocent users by tricking them into revealing their secure and personal information, with the purpose of using it fraudulently. In order to avoid getting phished, users should have awareness of phishing websites, have a blacklist of phishing websites which requires the knowledge of website being detected as phishing.
2019 ◽
Vol 7
(4)
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pp. 721-725
2019 ◽
Vol 60
(6)
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pp. 838-853
2021 ◽
Vol 1085
(1)
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pp. 012029
1996 ◽
Vol 9
(5)
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pp. 515-522
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Keyword(s):
Keyword(s):