Title
A survey on security control and attack detection for industrial cyber-physical systems.
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. (c) 2017 Elsevier B.V. All rights reserved.
Year
DOI
Venue
2018
10.1016/j.neucom.2017.10.009
NEUROCOMPUTING
Keywords
Field
DocType
Industrial cyber-physical systems,Cyber-attacks,Attack detection,Security control
Control system security,Security controls,Computer security,Critical infrastructure,Security analysis,Cyber-physical system,Systems modeling,Replay attack,Mathematics,Vulnerability
Journal
Volume
ISSN
Citations 
275
0925-2312
88
PageRank 
References 
Authors
1.73
98
5
Name
Order
Citations
PageRank
Derui Ding1122746.37
Qing-Long Han26396315.39
Yang Xiang32930212.67
Xiaohua Ge4115936.87
Xian-Ming Zhang5163555.52