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Deep Learning-Based Speech and Vision Synthesis to Improve Phishing Attack Detection through a Multi-layer Adaptive Framework
Feb. 28, 2024, 5:11 a.m. | Tosin Ige, Christopher Kiekintveld, Aritran Piplai
cs.CR updates on arXiv.org arxiv.org
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. …
academia art arxiv attack attacker bypass challenges cs.ai cs.cr cs.cv cs.lg current deep learning detection framework industry mountain phishing phishing attack phishing detection phishing techniques prove research researchers speech state techniques
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