DEVELOPMENT OF RISK MANAGEMENT MODELS IN CYBERSECURITY PROJECTS USING FUZZY LOGIC
DOI:
https://doi.org/10.17721/ISTS.2021.1.9-18Keywords:
startup, cyberspace, cybersecurity projects, information technology, risks, IT products, fuzzy setsAbstract
This article is devoted to the analysis of the conditions for the implementation of startup projects in the field of cy bersecurity, which are currently implemented and funded by the state through the use of modern information technology. There are many different startup projects in this field, related to the rapid development of information technology and information security technology. However, the opportunities for public funding and attracted private funding for such projects are limited, which in some way hinders opportunities for further development. Thus, there is a task of selecting the best startup projects in the field of cybersecurity, which in turn requires the development of the necessary models and modeling methods. This paper investigates and analyzes information sources that show that the issue of evaluating the effectiveness of IT startups is not sufficiently addressed, especially for the use of products of such projects in cybersecurity. This imposes additional requirements and restrictions on the IT products of such projects and on the management processes of such projects. In addition, the future of cybersecurity startups is associated with many parameters that are highly conditional and predictable in the early stages of project review. Therefore, to accept the project for consideration, it is advisable to use fuzzy modeling methods. By using the fuzzy set method, it is possible to use fuzzy variables that reflect the uncertainty of some parameters of such projects. The proposed research methodology is based on the analysis of project efficiency and the use of fuzzy set methods. For this purpose, membership functions are constructed, which establish the degree of belonging of a fuzzy set. The trapezoid model is chosen as the function type and the parameters corresponding to the pessimistic, basic and optimistic scenarios are set. The novelty of the work is to determine the degree of risk of a startup project, which depends on the criterion of project effectiveness. The paper proves the dependence of the cybersecurity project risk indicator on the value of the project effectiveness criteri on. The proposed approach has shown its feasibility and can be used to analyze startup projects by scientists, project managers, entrepreneurs and investors, cybersecurity professionals.Downloads
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