Research on intrusion detection of industrial control system based on OPSO-BPNN algorithm
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8272884/8284746/08284878.pdf?arnumber=8284878
Cited by 7 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. Lightweight Intrusion Detection Based on Hybrid Feature Selection Machine Learning;2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC);2024-06-07
2. Analysis the Informative Value of Digital Images of Signals from Industrial Control Systems Under the Influence of Cyberattacks;2024 International Russian Smart Industry Conference (SmartIndustryCon);2024-03-25
3. Comparative Analysis of the Clustering Methods Application for Detecting Anomalies in the Information Processes of ICS Networks Exposed to Cyberattacks;2023 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT);2023-05-15
4. Digital Neural Network Model of the Detector of Anomalous Changes in the Signals Reflecting the Operation of Automated Process Control Systems of Enterprises under the Influence of Cyber Attacks;2023 25th International Conference on Digital Signal Processing and its Applications (DSPA);2023-03-29
5. Obtaining a Highly Informative Digital Image of Information Signals of Cyber-Physical Systems Using Time-Frequency Spectral Analysis and Digital Filtering;2022 International Russian Automation Conference (RusAutoCon);2022-09-04
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