PWDGAN: Generating Adversarial Malicious URL Examples for Deceiving Black-Box Phishing Website Detector using GANs
Author:
Affiliation:
1. Vietnam National University Ho Chi Minh City,University of Information Technology, VNU-HCM,Hochiminh City,Vietnam
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9690525/9690526/09690540.pdf?arnumber=9690540
Reference13 articles.
1. Utilizando Aprendizado de Máquina para Detecção Automática de URLs Maliciosas Brasileiras;ayres;Anais do XXXVII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos maio 06 2019,2019
2. Fighting against phishing attacks: state of the art and future challenges
3. A comprehensive survey of AI-enabled phishing attacks detection techniques
4. Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN;hu,2017
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1. Multi-SpacePhish: Extending the Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning;Digital Threats: Research and Practice;2023-12-20
2. Raze to the Ground: Query-Efficient Adversarial HTML Attacks on Machine-Learning Phishing Webpage Detectors;Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security;2023-11-26
3. A Good Fishman Knows All the Angles: A Critical Evaluation of Google's Phishing Page Classifier;Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security;2023-11-15
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