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Deep Learning for Phishing Detection: Taxonomy, Current Challenges and Future Directions
2022
IEEE Access
Phishing has become an increasing concern and captured the attention of end-users as well as security experts. Despite decades of development and improvement, existing phishing detection techniques still suffer from the deficiency in performance accuracy and the inability to detect unknown attacks. Motivated to solve these problems, many researchers in the cybersecurity domain have shifted their attention to phishing detection that capitalizes on machine learning techniques. In recent years,
doi:10.1109/access.2022.3151903
fatcat:hhuywvlz5bac5fc5eoizyam77i