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A survey on security control and attack detection for industrial cyber-physical systems

Open access
Ding, Derui, Han, Qing-Long, Xiang, Yang, Ge, Xiaohua, Zhang, Xian-Ming·2018·Neurocomputing

Abstract

Abstract Cyber-physical systems (CPSs), which are an integration of computation, networking, and physical processes, play an increasingly important role in critical infrastructure, government and everyday life. Due to physical constraints, embedded computers and networks may give rise to some additional security vulnerabilities, which results in losses of enormous economy benefits or disorder of social life. As a result, it is of significant to properly investigate the security issue of CPSs to ensure that such systems are operating in a safe manner. This paper, from a control theory perspective, presents an overview of recent advances on security control and attack detection of industrial CPSs. First, the typical system modeling on CPSs is summarized to cater for the requirement of the performance analysis. Then three typical types of cyber-attacks, i.e. denial-of-service attacks, replay attacks, and deception attacks, are disclosed from an engineering perspective. Moreover, robustness, security and resilience as well as stability are discussed to govern the capability of weakening various attacks. The development on attack detection for industrial CPSs is reviewed according to the categories on detection approaches. Furthermore, the security control and state estimation are discussed in detail. Finally, some challenge issues are raised for the future research.

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Metadata

Authors
Ding, D., Han, Q.-L., Xiang, Y., Ge, X., & Zhang, X.-M.
Venue
Neurocomputing
Publisher
Elsevier BV
Published
2018-01
Volume
275
Pages
1674-1683
ISSN
0925-2312 (ISSN-L)
OpenAlex
W2762155482
Cited by
944
References
1
FWCI
53.03
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A survey on security control and attack detection for industrial cyber-physical systems. https://app.cochat.ai/papers/10.1016/j.neucom.2017.10.009
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Ding, D., Han, Q.-L., Xiang, Y., Ge, X., & Zhang, X.-M. (2018). A survey on security control and attack detection for industrial cyber-physical systems. Neurocomputing. https://doi.org/10.1016/j.neucom.2017.10.009

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