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- W4377970734 abstract "As the process of digital transformation continues to advance, the challenges to global cyber security have increased. As a result of digitalization, hackers have more alternatives. Phishing efforts are the initial type of cyber-attacks, and they aim to get individual user passwords. Phishing is a common tactic used by hackers to trick people into giving them access to a company’s networks and digital assets. Phishing is a type of cyber-attack in which a victim is tricked into divulging sensitive information including account passwords, bank account details, ATM pin numbers, and other personal information. Phishing-style cyber-attacks hurt individuals by deceiving them into disclosing important information. In this paper, the phishing attack dataset will be taught and evaluated to see which deep learning method yields the best results." @default.
- W4377970734 created "2023-05-25" @default.
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- W4377970734 date "2023-01-23" @default.
- W4377970734 modified "2023-09-30" @default.
- W4377970734 title "Data Analytics for Phishing Attack Detection using Deep Learning Techniques" @default.
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- W4377970734 doi "https://doi.org/10.1109/iccci56745.2023.10128253" @default.
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