Deep learning for phishing detection: Taxonomy, current challenges and future directions

• Main Authors: Do, Nguyet Quang, Selamat, Ali, Krejcar, Ondrej, Herrera-Viedma, Enrique, Fujita, Hamido
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2022
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/104302/1/AliSelamat2022_DeepLearningforPhishingDetectionTaxonomy.pdf; http://eprints.utm.my/104302/; http://dx.doi.org/10.1109/ACCESS.2022.3151903

Phishing has become an increasing concern and captured the attention of end-users as well as security experts. Existing phishing detection techniques still suffer from the deficiency in performance accuracy and inability to detect unknown attacks despite decades of development and improvement. Motiv...