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A Pioneering Study and An Innovative Information Theory-based Approach to Enhance The Transparency in Phishing Detection
Feb. 28, 2024, 5:11 a.m. | Van Nguyen, Tingmin Wu, Xingliang Yuan, Marthie Grobler, Surya Nepal, Carsten Rudolph
cs.CR updates on arXiv.org arxiv.org
Abstract: Phishing attacks have become a serious and challenging issue for detection, explanation, and defense. Despite more than a decade of research on phishing, encompassing both technical and non-technical remedies, phishing continues to be a serious problem. Nowadays, AI-based phishing detection stands out as one of the most effective solutions for defending against phishing attacks by providing vulnerability (i.e., phishing or benign) predictions for the data. However, it lacks explainability in terms of providing comprehensive interpretations …
arxiv attacks cs.cr defense detection information issue non phishing phishing attacks phishing detection problem research serious study technical theory transparency
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