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Cyber-physical system security for networked industrial processes
journal contribution
posted on 2017-09-28, 11:46 authored by Shuang Huang, Chunjie Zhou, Shuang-Hua Yang, Yuanqing QinCyber-physical systems (CPSs) are integrations of networks, computation and physical processes, where embedded computing devices continually sense, monitor, and control the physical processes through networks. Networked industrial processes combining internet, real-time computer control systems and industrial processes together are typical CPSs. With the increasingly frequent cyber-attack, security issues have gradually become key problems for CPSs. In this paper, a cyber-physical system security protection approach for networked industrial processes, i.e., industrial CPSs, is proposed. In this approach, attacks are handled layer by layer from general information technology (IT) security protection, to active protection, then to intrusion tolerance and physical security protection. The intrusion tolerance implemented in real-time control systems is the most critical layer because the real time control system directly affects the physical layer. This novel intrusion tolerance scheme with a closed loop defense framework takes into account the special requirements of industrial CPSs. To illustrate the effectiveness of the CPS security protection approach, a networked water level control system is described as a case study in the architecture analysis and design language (AADL) environment. Simulation results show that 3 types of injected attacks can be quickly defended by using the proposed protection approach.
Funding
This work was partially supported by Natural Science Foundation of China (Nos. 61272204 and 61433006) and the Fundamental Research Funds for the Central Universities, China (No. 2013ZZGH006).
History
School
- Science
Department
- Computer Science
Published in
International Journal of Automation and ComputingVolume
12Issue
6Pages
567 - 578Citation
HUANG, S. ... et al., 2015. Cyber-physical system security for networked industrial processes. International Journal of Automation and Computing, 12 (6), pp.567-578.Publisher
Springer (© Institute of Automation, Chinese Academy of Science and Springer)Version
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2015ISSN
1476-8186eISSN
1751-8520Publisher version
Language
- en