Vulnerability Analysis of CSP Based on Stochastic Game Theory

Joint Authors

Shen, Jiajun
Feng, Dongqin

Source

Journal of Control Science and Engineering

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-10-24

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Electronic engineering
Information Technology and Computer Science

Abstract EN

With the development of industrial informatization, the industrial control network has gradually become much accessible for attackers.

A series of vulnerabilities will therefore be exposed, especially the vulnerability of exclusive industrial communication protocols (ICPs), which has not yet been attached with enough emphasis.

In this paper, stochastic game theory is applied on the vulnerability analysis of clock synchronization protocol (CSP), one of the pivotal ICPs.

The stochastic game model is built strictly according to the protocol with both Man-in-the-Middle (MIM) attack and dependability failures being taken into account.

The situation of multiple attack routes is considered for depicting the practical attack scenarios, and the introduction of time aspect characterizes the success probabilities of attackers actions.

The vulnerability analysis is then realized through determining the optimal strategies of attacker under different states of system, respectively.

American Psychological Association (APA)

Shen, Jiajun& Feng, Dongqin. 2016. Vulnerability Analysis of CSP Based on Stochastic Game Theory. Journal of Control Science and Engineering،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1107891

Modern Language Association (MLA)

Shen, Jiajun& Feng, Dongqin. Vulnerability Analysis of CSP Based on Stochastic Game Theory. Journal of Control Science and Engineering No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1107891

American Medical Association (AMA)

Shen, Jiajun& Feng, Dongqin. Vulnerability Analysis of CSP Based on Stochastic Game Theory. Journal of Control Science and Engineering. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1107891

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1107891