Research on Intrusion Detection Based on Particle Swarm Optimization in IoT-Reference-Cited by-同舟云学术

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Research on Intrusion Detection Based on Particle Swarm Optimization in IoT

Published:2021 Issue: Volume:9 Page:38254-38268
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Liu Jingyu^ORCID,Yang Dongsheng,Lian Mengjia,Li Mingshi

Funder

Research on Key Technologies of Real-time Fault Diagnosis in Intelligent Production System based on Industrial IoT

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09367134.pdf?arnumber=9367134

Cited by 79 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. Enhancing IoT security: A comparative study of feature reduction techniques for intrusion detection system;Intelligent Systems with Applications;2024-09

2. Intrusion detection and prevention systems in industrial IoT network;Sādhanā;2024-08-31

3. Stacked autoencoder with weighted loss function for intrusion detection in IoT application;Multimedia Tools and Applications;2024-08-13

4. Analyzing anonymous activities using Interrupt-aware Anonymous User-System Detection Method (IAU-S-DM) in IoT;Scientific Reports;2024-08-05

5. Dynamic Smartcard Protection and SSELUR-GRU-Based Attack Stage Identification in Industrial IoT;Journal of Electronic Testing;2024-07-30

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