Top

Automatic Control and Computer Sciences

Published in:

01-12-2020

Ensuring the Information Security of Wireless Dynamic Networks Based on the Game-Theoretic Approach

Authors: D. S. Lavrova, R. S. Solovei

Published in: Automatic Control and Computer Sciences | Issue 8/2020

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

The concept of applying the game-theoretic approach in wireless dynamic network infrastructure to counteract cyber-attacks is presented. This approach can enable an adaptive reconfiguration of the network structure as various types of cyber-attacks occur and ensure continuous network functioning even in the case of destructive information impacts.

previous article A Model of Optimal Complexification of Measures Providing Information Security

next article Multilevel Model of Computer Attack Based on Attributive Metagraphs

Vasiliev, Y.S., Zegzhda, P.D., and Kuvshinov, V.I., Modern problems of cybersecurity, Nonlinear Phenom. Complex Syst. (Dordrecht, Neth.), 2014, vol. 17, no. 3, pp. 210–214.

Anisimov, V.G., Anisimov, E.G., Zegzhda, P.D., and Suprun, A.F., The problem of innovative development of information security systems in the transport sector, Autom. Control Comput. Sci., 2018, vol. 52, no. 8, pp. 1105–1110.CrossRef

Kalinin, M., Krundyshev, V., Zegzhda, P., and Belenko, V., Network security architectures for VANET, ACM International Conference Proceeding Series, 2017, pp. 73–79.

Demidov, R.A., Zegzhda, P.D., and Kalinin, M.O., Threat analysis of cyber security in wireless adhoc networks using hybrid neural network model, Autom. Control Comput. Sci., 2018, vol. 52, no. 8, pp. 971–976.CrossRef

Kalinin, M., Zegzhda, P., Zegzhda, D., Vasiliev, Y., and Belenko, V., Software defined security for vehicular ad hoc networks, 2016 International Conference on Information and Communication Technology Convergence, ICTC, 2016, pp. 533–537.

Kalinin, M.O., Krundyshev, V.M., Rezedinova, E.Y., and Reshetov, D.V., Hierarchical software-defined security management for large-scale dynamic networks, Autom. Control Comput. Sci., 2018, vol. 52, no. 8, pp. 906–911.CrossRef

Kalinin, M.O. and Minin, A.A., Security evaluation of a wireless ad-hoc network with dynamic topology, Autom. Control Comput. Sci., 2017, vol. 51, no. 8, pp. 899–901.CrossRef

Zegzhda, P.D., Ivanov, D.V., Moskvin, D.A., and Kubrin, G.S., Actual security threats for vehicular and mobile ad hoc networks, Autom. Control Comput. Sci., 2018, vol. 52, no. 8, pp. 993–999.CrossRef

Zegzhda, D.P., Zegzhda, P.D., and Kalinin, M.O., Clarifying integrity control at the trusted information environment, Lect. Notes Comput. Sci., 2010, vol. 6258, pp. 337–344.CrossRef

10.

Kalinin, M.O., Permanent protection of information systems with method of automated security and integrity control, SIN'10: Proceedings of the 3rd International Conference of Security of Information and Networks, 2010, pp. 118–123. https://doi.org/10.1145/1854099.1854125

11.

Dakhnovich, A., Moskvin, D., and Zeghzda, D., An approach for providing industrial control system sustainability in the age of digital transformation, IOP Conf. Ser.: Mater. Sci. Eng., 2019, vol. 497, no. 1. https://doi.org/10.1088/1757-899X/497/1/012006

12.

Pavlenko, E. and Zegzhda, D., Sustainability of cyber-physical systems in the context of targeted destructive influences, 2018 IEEE Industrial Cyber-Physical Systems, ICPS, 2018, pp. 830–834.

13.

Zegzhda, D.P. and Pavlenko, E.Y., Digital manufacturing security indicators, Autom. Control Comput. Sci., 2018, vol. 52, no. 8, pp. 1150–1159.CrossRef

14.

Zegzhda, P.D. and Kalinin, M.O., Automatic security management of computer systems, Autom. Control Comput. Sci., 2015, vol. 49, no. 8, pp. 665–672.CrossRef

15.

Zegzhda, D.P. and Pavlenko, E.Y., Cyber-sustainability of software-defined networks based on situational management, Autom. Control Comput. Sci., 2018, vol. 52, no. 8, pp. 984–992.CrossRef

16.

Pavlenko, E., Zegzhda, D., and Shtyrkina, A., Criterion of cyber-physical systems sustainability, CEUR Workshop Proc., 2019, vol. 2603, pp. 60–64.

17.

Pavlenko, E., Zegzhda, D., and Poltavtseva, M., Ensuring the sustainability of cyberphysical systems based on dynamic reconfiguration, IEEE International Conference on Industrial Cyber Physical Systems, ICPS, 2019, pp. 785–789. https://doi.org/10.1109/ICPHYS.2019.8780193

18.

Minin, A. and Kalinin, M., Information security in computer networks with dynamic topology, ACM International Conference Proceeding Series, 2015. https://doi.org/10.1145/2799979.2800023

19.

20.

Kalinin, M., Demidov, R., and Zegzhda, P., Hybrid neural network model for protection of dynamic cyber infrastructure, Nonlinear Phenom. Complex Syst. (Dordrecht, Neth.), 2019, vol. 22, no. 4, pp. 375–382.

21.

Pavlenko, E., Zegzhda, D., and Shtyrkina, A., Estimating the sustainability of cyber-physical systems based on spectral graph theory, 2019 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom, 2019. https://doi.org/10.1109/BlackSeaCom.2019.8812826

22.

Burns, T., Roszkowska, E., Corte, U., and Machado des Johansson, N., Sociological game theory: Agency, social structures and interaction processes, Optimum, Stud. Ekon., 2017, pp. 187–199.

23.

Mas-Collel, A., Whinston, M.D., and Green, J.R., Microeconomic Theory, New York: Oxford Univ. Press, 1997.MATH

24.

Ashkenazi, V.O., Primenenie teorii igr v voennom dele (Application of Game Theory in Military Affairs), Moscow: Sov. Radio, 1961.

25.

Teoriya igr v upravlenii organizatsionnymi sistemami (Game Theory in Management of Organizational Systems), Gubko, M.V. and Novikov, D.A., Eds., Moscow: Sinteg, 2002.

26.

Roberts, F.S., Discrete Mathematical Models, with Applications to Social, Biological, and Environmental Problems, Prentice-Hall, 1976.MATH

27.

Owen, G., Game Theory, Academic Press, 1968.MATH

28.

Dutta, B. and Mutuswami, S., Stable networks, J. Econ. Theory, 1997, vol. 76, pp. 322–344.MathSciNetCrossRef

29.

Giocoli, N., Nash equilibrium, History Polit. Econ., 2004, vol. 36, no. 4.

30.

Myerson, R.B., Game Theory: Analysis of Conflict, London: Harvard Univ. Press, 1991.MATH

31.

32.

33.

Kalinin, M.O. and Pavlenko, E.Y., Increasing the fault tolerance and availability of software defined networks using network equipment control based on multiobjective optimization by service quality parameters, Autom. Control Comput. Sci., 2015, vol. 49, no. 8, pp. 673–678.CrossRef

34.

Kalinin, M.O., Krundyshev, V.M., and Semianov, P.V., Architectures for building secure vehicular networks based on SDN technology, Autom. Control Comput. Sci., 2017, vol. 51, no. 8, pp. 907–914.CrossRef

35.

Mekhanizmy funktsionirovaniya organizatsionnykh sistem (Mechanisms of Functioning of Organizational Systems), Burkov, V.N. and Kondrat’ev, V.V., Eds., Moscow: Nauka, 1981.

36.

Currarini, S. and Morelli, M., Network formation with sequential demands, Rev. Econ. Des., 2000, vol. 5, pp. 229–250.

37.

Germeier, Yu.B., Igry s neprotivopolozhnymi interesami (Non-Antagonistic Games), Moscow: Nauka, 1976.

Title: Ensuring the Information Security of Wireless Dynamic Networks Based on the Game-Theoretic Approach
Authors: D. S. Lavrova
R. S. Solovei
Publication date: 01-12-2020
Publisher: Pleiades Publishing
Published in: Automatic Control and Computer Sciences / Issue 8/2020
Print ISSN: 0146-4116
Electronic ISSN: 1558-108X
DOI: https://doi.org/10.3103/S0146411620080210

Springer Professional

Abstract

Please log in to get access to your license.

Other articles of this Issue 8/2020

Analysis of Safety Methods for a New Generation of Automobiles

Building an Adaptive System for Collecting and Preparing Data for Security Monitoring

Blockchain Based System Model for Assessment of Security against Threats Caused by Uneven Distribution of Computational Power

Detection of Distributed Denial of Service Attacks in Large-Scale Networks Based on Methods of Mathematical Statistics and Artificial Intelligence

A General Scheme for the Pre-Distribution of Keys

Detection of Network Attacks Using the Tsetlin Machine