A RF-PSO Based Hybrid Feature Selection Model in Intrusion Detection System-Reference-Cited by-同舟云学术

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A RF-PSO Based Hybrid Feature Selection Model in Intrusion Detection System

Published:2018-06 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE Third International Conference on Data Science in Cyberspace (DSC)
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Author:

Li Hengxun,Guo Wei,Wu Guoying,Li Yanxia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8411555/8411822/08411949.pdf?arnumber=8411949

Cited by 22 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. A Systematic Literature Review on Swarm Intelligence Based Intrusion Detection System: Past, Present and Future;Archives of Computational Methods in Engineering;2024-03-01

2. An Ensemble Feature Selection Approach for Intrusion Detection Systems;Lecture Notes in Networks and Systems;2024

3. Enhancing kNN-Based Intrusion Detection with Differential Evolution with Auto-Enhanced Population Diversity;2023 14th International Conference on Information and Knowledge Technology (IKT);2023-12-26

4. BLB-GAFS: An Efficient, Multi-Objective Genetic Algorithm Based Feature Selection Method for Intrusion Detection Systems;2023 IEEE Symposium Series on Computational Intelligence (SSCI);2023-12-05

5. Disease classification using neighbourhood centroid opposition based multi-objective flamingo search algorithm based feature selection approach;Journal of Intelligent & Fuzzy Systems;2023-10-04

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