MODEL OF THE INVESTMENT PROCESS IN CYBER SECURITY DEVELOPMENT FOR BUILDING A DECISION SUPPORT SYSTEM

Author:

Hulak Hennadii1ORCID,Lakhno Valeriy2ORCID

Affiliation:

1. Institute of Mathematical Machines and Systems Problems

2. National University of Life and Environmental Sciences of Ukraine

Abstract

The topical problem of making the optimal decision on financing pro-jects in the field of cybersecurity in the conditions of active actions of cybersecu-rity violators is considered. A model has been developed for a decision support system for financing projects for the creation and development of cybersecurity management centers for critical infrastructure facilities. The model assumes meth-ods and means of actively countering the attacking side. In contrast to existing approaches, the model is based on solving a bilinear differential quality game with several terminal surfaces. A discrete approximation method was used in the solution. This made it possible to find a solution to the bilinear differential quality game with dependent movements. The results of a computational experiment within the framework of the software implementation of a decision support sys-tem in the field of financing projects in the field of cybersecurity, in particular, in the creation and development of cybersecurity management centers for critical in-frastructure facilities are described. The developed decision support system al-lows obtaining optimal financing strategies by the side of cybersecurity protec-tion. In this case, any ratio of parameters describing the financing process is con-sidered, no matter how financially the attacker (hackers) acted.

Publisher

Borys Grinchenko Kyiv University

Subject

General Medicine

Reference22 articles.

1. M. Fey, B. Kenyon, K. Reardon, B. Rogers and C. Ross, Security Battleground: An Executive Manual, IntelPRESS. 2013, p. 240.

2. C. Zimmerman, Ten Strategies of a World-Class. Cybersecurity Operations Center. MITRE Corporate Communications and Public Affairs, 2014, p. 334.

3. M. Manshaei, Q. Zhu and T. Alpcan, "Game theory meets network security and privacy", ACM Computing Surveys, vol. 48, pp. 51-61, 2015.

4. N. Ben–Asher, C. Gonzalez, "Effects of cyber security knowledge on attack detection", Computers in Human Behavior, vol. 48, pp. 51–61, 2015.

5. K. Goztepe, "Designing Fuzzy Rule Based Expert System for Cyber Security", International Journal of Information Security Science, vol. 1, no. 1, pp. 13-19, 2012.

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