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Machines 2017, 5(3), 17; doi:10.3390/machines5030017

Survivability Analysis on a Cyber-Physical System

School of Science, East China University of Science and Technology, Shanghai 200237, China
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Received: 27 May 2017 / Revised: 14 July 2017 / Accepted: 28 July 2017 / Published: 1 August 2017
(This article belongs to the Special Issue Cyber-Physical System Cybersecurity)
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Abstract

A cyber-physical system (CPS) is composed of interdependent physical-resource and cyber-resource networks that are tightly coupled. The malfunction of nodes in a network may trigger failures to the other network and further cause cascading failures, which would potentially lead to the complete collapse of the entire system. The number and communication of operating nodes at stable state are closely related to the initial failure nodes and the topology of the network system. To address this issue, this paper studies the survivability of CPS in the presence of initial failure nodes, proposes (m, k)—survivability, which is defined as the probability that at least k nodes are still working in CPS after m nodes are attacked, and discusses the problem of cascading failure based on reliability (CFR). Further, we propose an algorithm to calculate (m, k)—survivability and find that the minimum survivability of system with regular allocation strategy decreases with k for a fixed m, and the proportion of initial failure node groups that cause the system to completely fragment increases with m. The simulation shows the properties and the result of CFR of the system with 12 nodes. View Full-Text
Keywords: survivability; reliability; cascading failures; cyber-physical system survivability; reliability; cascading failures; cyber-physical system
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Wang, T.; Zhang, Z.; Shao, F. Survivability Analysis on a Cyber-Physical System. Machines 2017, 5, 17.

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