Bypassing Detection of URL-based Phishing Attacks Using Generative Adversarial Deep Neural Networks
Author:
Affiliation:
1. Yarmouk University, Irbid, Jordan
2. University of Maryland, Baltimore County, Halethorpe, MD, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3375708.3380315
Reference37 articles.
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2. Phish Phactors: Offensive and Defensive Strategies
3. PhishGuard: A browser plug-in for protection from phishing
4. A stacking model using URL and HTML features for phishing webpage detection
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