ALGORITHMS FOR THE DEVELOPMENT OF A KNOWLEDGE BASE TO ENHANCE DECISION SUPPORT SYSTEMS IN ADDRESSING CYBERSECURITY CHALLENGES

Authors

  • Kasatkin Dmytro National University of Life and Environmental Sciences of Ukraine image/svg+xml
  • Voloshyn Semen National University of Life and Environmental Sciences of Ukraine image/svg+xml
  • Gusev Borys National University of Life and Environmental Sciences of Ukraine image/svg+xml
  • Matiievskyi Volodymyr National University of Life and Environmental Sciences of Ukraine image/svg+xml

Keywords:

critical computer systems, cybersecurity, decision support system, security assessment

Abstract

This article presents the development of a modular decision support system (DSS) for cybersecurity, aimed at enhancing the protection of critical computer systems (CCS). The system is based on a fuzzy logic inference subsystem (FIS) model that utilizes data from sensors and SIEM systems to detect signs of threats, anomalies, and attacks through fuzzification of input values. A developed algorithm for forming a knowledge base of typical and emergency situations allows the system not only to effectively respond to known threats but also to analyze unforeseen situations. The application of the FIS module enables the creation of a multi-parameter image of CCS vulnerability, which ensures a more comprehensive and accurate assessment of their security.

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Published

2024-11-08

Issue

No. 1 (2024)

Section

All articles from the issue

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