An Enhanced Network Intrusion Detection Method Using Auxiliary Classifier Generative Adversarial Networks
Author:
Affiliation:
1. Ningbo Artificial Intelligence Institute of Shanghai Jiao Tong University, Shanghai Jiao Tong University,Ningbo,China
2. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University,Shanghai,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10450150/10449968/10451618.pdf?arnumber=10451618
Reference23 articles.
1. Network Intrusion Detection for IoT Security Based on Learning Techniques
2. A survey of intrusion detection on industrial control systems
3. Machine Learning Intrusion Detection in Big Data Era: A Multi-Objective Approach for Longer Model Lifespans
4. A feature reduced intrusion detection system using ANN classifier
5. A Survey of Deep Learning Methods for Cyber Security
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