A Protocol-based Intrusion Detection System using Dual Autoencoders
Author:
Affiliation:
1. National Yang Ming Chiao Tung University,Dept. of Electrical & Computer Engineering,Hsinchu,Taiwan
2. National Yang Ming Chiao Tung University,Inst. of Electrical & Control Engineering,Hsinchu,Taiwan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9724650/9724651/09724825.pdf?arnumber=9724825
Reference15 articles.
1. Concept for Network Intrusion Detection System based on Recurrent Neural Net-work Classifier;nikolov;IEEE XXV International Scientific Conference Electronics,0
2. Intru-sion Detection systems using Real-Valued Negative Selection Algorithm with Optimized Detectors;selahshoor;2019 5th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS),0
3. Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection
4. Exploiting the Auto-Encoder Residual Error for Intrusion Detection
5. Multi-Channel Deep Feature Learning for Intrusion Detection
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