Detection of LR-DDoS Attack Based on Hybrid Neural Networks CNN-LSTM and CNN-Autoencoder
Author:
Affiliation:
1. School of Electrical Engineering, University of Belgrade,Belgrade,Serbia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10645074/10645075/10645089.pdf?arnumber=10645089
Reference14 articles.
1. Survey on Low-Rate DDoS Attacks, Detection and Defense
2. Investigation of neural network classification of computer network attacks
3. CPSS LR-DDoS Detection and Defense in Edge Computing Utilizing DCNN Q-Learning
4. Deep Learning-based Slow DDoS Attack Detection in SDN-based Networks
5. A hybrid deep learning model based low‐rate DoS attack detection method for software defined network
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