Deep Learning Based Covert Attack Identification for Industrial Control Systems-Reference-Cited by-同舟云学术

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Deep Learning Based Covert Attack Identification for Industrial Control Systems

Published:2020-12 Issue: Volume: Page:
ISSN:
Container-title:2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA)
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Author:

Li Dan,Ramanan Paritosh,Gebraeel Nagi,Paynabar Kamran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9356100/9356131/09356280.pdf?arnumber=9356280

Cited by 10 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 survey on detection and localisation of false data injection attacks in smart grids;IET Cyber-Physical Systems: Theory & Applications;2024-05-26

2. Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice;Technometrics;2024-04-15

3. Attack prevention and detection for cyber-physical systems based on coprime factorization technique;2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE);2023-06-19

4. An Online Approach to Covert Attack Detection and Identification in Power Systems;IEEE Transactions on Power Systems;2023-01

5. A Residual-Driven Secure Transmission and Detection Approach Against Stealthy Cyber-Physical Attacks for Accident Prevention;IEEE Transactions on Information Forensics and Security;2023

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