A Novel SDN Dataset for Intrusion Detection in IoT Networks
Author:
Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9269033/9269034/09269042.pdf?arnumber=9269042
Cited by 28 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. An explainable nature-inspired cyber attack detection system in Software-Defined IoT applications;Expert Systems with Applications;2024-09
2. DDoS in SDN: a review of open datasets, attack vectors and mitigation strategies;Discover Applied Sciences;2024-08-31
3. Novel Framework for an Intrusion Detection System Using Multiple Feature Selection Methods Based on Deep Learning;Tsinghua Science and Technology;2024-08
4. Intrusion Detection in SDN Using Ensemble Learning Technique;2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC);2024-06-28
5. A novel bidirectional LSTM model for network intrusion detection in SDN-IoT network;Computing;2024-05-27
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