Intrusion detection system for SDN network using deep learning approach

Author:

BOUKRIA Sarra,GUERROUMI Mohamed

Publisher

IEEE

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Towards an Efficient DDoS Attack Detection in SDN: An Approach with CNN-GRU Fusion;2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT);2024-01-11

2. A Collaborative Software Defined Network-Based Smart Grid Intrusion Detection System;IEEE Open Journal of the Communications Society;2024

3. Securing Southbound Interface in SDNs: Utilizing Support Vector Machines for OpenFlow Packet Classification;2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD);2023-11-06

4. On Hybrid Artificial Neural Networks and Variational Quantum Classifier for Network Intrusion Detection;2023 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC);2023-11-02

5. Deep Learning-Based Approach for Detecting DDoS Attack on Software-Defined Networking Controller;Systems;2023-06-09

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