A Collaborative Intrusion Detection Model using a novel optimal weight strategy based on Genetic Algorithm for Ensemble Classifier-Reference-Cited by-同舟云学术

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A Collaborative Intrusion Detection Model using a novel optimal weight strategy based on Genetic Algorithm for Ensemble Classifier

Published:2018-05 Issue: Volume: Page:
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Container-title:2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design ((CSCWD))
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Author:

Tengl Shaohua,Zhang Zhenhua,Teng Luyao,Zhang Wei,Zhu Haibin,Fang Xiaozhao,Fei Lunke

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8455506/8464758/08465148.pdf?arnumber=8465148

Cited by 11 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 lightweight SEL for attack detection in IoT/IIoT networks;Journal of Network and Computer Applications;2024-10

2. Collaborative intrusion detection using weighted ensemble averaging deep neural network for coordinated attack detection in heterogeneous network;International Journal of Information Security;2024-07-23

3. WELID: A Weighted Ensemble Learning Method for Network Intrusion Detection;2023 IEEE Symposium on Computers and Communications (ISCC);2023-07-09

4. A Comprehensive Survey on Ensemble Learning-Based Intrusion Detection Approaches in Computer Networks;IEEE Access;2023

5. FI-PCA for IoT Network Intrusion Detection;2022 International Symposium on Networks, Computers and Communications (ISNCC);2022-07-19

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