Advanced Phishing Filter Using Autoencoder and Denoising Autoencoder
Author:
Affiliation:
1. University Mohammed V, Rabat, Morocco
Publisher
ACM Press
Reference27 articles.
1. Phishing attacks and countermeasures. Ramzan, Zulfikar (2010). 2010, Handbook of Information and Communication Security. Springer. ISBN 9783642041174.
2. Learning Deep Architectures for AI. Bengio, Yoshua. s.l.: Foundations and Trends® in Machine Learning: Vol. 2: No. 1, pp 1--127., 2009.
3. Towards A new Spam Filter Based on PV-DM (Paragraph Vector-Distributed Memory Approach), Samira Douzi, Meryem Amar, Bouabid El ouahidi, Hicham Laanaya. Science Direct,Procedia Computer Science Volume 110, 2017, Pages 486--491.
4. E. El-Alfy, R. Abdel-Aal,. Using GMDH-based networks for improved Spam detection and e-mail feature analysis. Applied Soft Computing 11 (1) (2011) 477--488.
5. Ian Fette, Norman Sadeh,Anthony Tomasic. Learning to Detect Phishing Emails. International World Wide Web Conference, 2007, pp. 649--656.
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1. STFL: Utilizing a Semi-Supervised, Transfer-Learning, Federated-Learning Approach to Detect Phishing URL Attacks;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
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3. Autoencoder-Based Architecture for Identification and Mitigating Phishing URL Attack in IoT Using DNN;Journal of The Institution of Engineers (India): Series B;2023-10-31
4. Phishing Email Detection Using Bi-GRU-CNN Model;Lecture Notes in Networks and Systems;2022
5. Updated Analysis of Detection Methods for Phishing Attacks;Communications in Computer and Information Science;2021
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