Next Article in Journal
An Ensemble-Boosting Algorithm for Classifying Partial Discharge Defects in Electrical Assets
Previous Article in Journal
Do We Understand the Relationship between Affective Computing, Emotion and Context-Awareness?
Article Menu

Export Article

Open AccessArticle
Machines 2017, 5(3), 17;

Survivability Analysis on a Cyber-Physical System

School of Science, East China University of Science and Technology, Shanghai 200237, China
Author to whom correspondence should be addressed.
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)
Full-Text   |   PDF [2457 KB, uploaded 2 August 2017]   |  


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

Figure 1

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).

Share & Cite This Article

MDPI and ACS Style

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

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Machines EISSN 2075-1702 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top