Real-Time Intrusion Detection Based on Decision Fusion in Industrial Control Systems-Reference-Cited by-同舟云学术

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Real-Time Intrusion Detection Based on Decision Fusion in Industrial Control Systems

Published:2024 Issue: Volume:2 Page:143-153
ISSN:2832-7004
Container-title:IEEE Transactions on Industrial Cyber-Physical Systems
language:
Short-container-title:Trans. Ind. Cyb-Phy. Sys.

Author:

Xue Yawen¹^ORCID,Pan Jie¹^ORCID,Geng Yangyang²^ORCID,Yang Zeyu³^ORCID,Liu Mengxiang⁴^ORCID,Deng Ruilong¹^ORCID

Affiliation:

1. State Key Laboratory of Industrial Control Technology and the College of Control Science and Engineering, Zhejiang University, Hangzhou, China

2. Information Engineering University, Zhengzhou, China

3. iTrust, Singapore University of Technology and Design, Singapore

4. Department of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, U.K.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Xiaomi Foundation

Fundamental Research Funds for the Central Universities

Key Lab of CS&AUS of Zhejiang Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9984155/10356795/10540291.pdf?arnumber=10540291

Reference35 articles.

1. Stuxnet: Dissecting a Cyberwarfare Weapon

2. The Cousins of Stuxnet: Duqu, Flame, and Gauss

3. Analysis of the cyber attack on the ukrainian power grid;Case;Electricity Inf. Sharing Anal. Center,2016

4. A Unified Architectural Approach for Cyberattack-Resilient Industrial Control Systems

5. Industrial control systems vulnerabilities statistics;Andreeva,2016

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