A Novel Covert Agent for Stealthy Attacks on Industrial Control Systems Using Least Squares Support Vector Regression
Joint Authors
Xie, Lun
Li, Weize
Wang, Zhiliang
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-01
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Abstract EN
Research on stealthiness has become an important topic in the field of data integrity (DI) attacks.
To construct stealthy DI attacks, a common assumption in most related studies is that attackers have prior model knowledge of physical systems.
In this paper, such assumption is relaxed and a covert agent is proposed based on the least squares support vector regression (LSSVR).
By estimating a plant model from control and sensory data, the LSSVR-based covert agent can closely imitate the behavior of the physical plant.
Then, the covert agent is used to construct a covert loop, which can keep the controller’s input and output both stealthy over a finite time window.
Experiments have been carried out to show the effectiveness of the proposed method.
American Psychological Association (APA)
Li, Weize& Xie, Lun& Wang, Zhiliang. 2018. A Novel Covert Agent for Stealthy Attacks on Industrial Control Systems Using Least Squares Support Vector Regression. Journal of Electrical and Computer Engineering،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1184530
Modern Language Association (MLA)
Li, Weize…[et al.]. A Novel Covert Agent for Stealthy Attacks on Industrial Control Systems Using Least Squares Support Vector Regression. Journal of Electrical and Computer Engineering No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1184530
American Medical Association (AMA)
Li, Weize& Xie, Lun& Wang, Zhiliang. A Novel Covert Agent for Stealthy Attacks on Industrial Control Systems Using Least Squares Support Vector Regression. Journal of Electrical and Computer Engineering. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1184530
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1184530