An Intrusion Detection System based on PSO-GWO Hybrid Optimized Support Vector Machine-Reference-Cited by-同舟云学术

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An Intrusion Detection System based on PSO-GWO Hybrid Optimized Support Vector Machine

Published:2021-07-18 Issue: Volume: Page:
ISSN:
Container-title:2021 International Joint Conference on Neural Networks (IJCNN)
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Author:

Li Kexin,Zhang Yong,Wang Shuai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9533266/9533267/09534325.pdf?arnumber=9534325

Cited by 5 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. Detecting diabetes in an ensemble model using a unique PSO-GWO hybrid approach to hyperparameter optimization;Neural Computing and Applications;2024-07-24

2. Systematic literature review on intrusion detection systems: Research trends, algorithms, methods, datasets, and limitations;Journal of Intelligent Systems;2024-01-01

3. Research on Dung Beetle Optimization Based Stacked Sparse Autoencoder for Network Situation Element Extraction;IEEE Access;2024

4. Detection of Malicious Network Traffic Attacks Using Support Vector Machine;Communications in Computer and Information Science;2024

5. TDL-IDS: Towards A Transfer Deep Learning based Intrusion Detection System;GLOBECOM 2022 - 2022 IEEE Global Communications Conference;2022-12-04

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