Feb. 28, 2024, 5:43 a.m. | Tosin Ige, Christopher Kiekintveld, Aritran Piplai

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.17249v1 Announce Type: cross
Abstract: The ever-evolving ways attacker continues to im prove their phishing techniques to bypass existing state-of-the-art phishing detection methods pose a mountain of challenges to researchers in both industry and academia research due to the inability of current approaches to detect complex phishing attack. Thus, current anti-phishing methods remain vulnerable to complex phishing because of the increasingly sophistication tactics adopted by attacker coupled with the rate at which new tactics are being developed to evade detection. …

abstract academia art arxiv challenges cs.ai cs.cr cs.cv cs.lg current deep learning detection detection methods framework industry layer phishing phishing detection prove research researchers speech state synthesis through type vision

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