Библиографическое описание:Adaptive Management of Multi-Scenario Projects in Cybersecurity: Models and Algorithms for Decision-Making : научное издание / V. V. Tynchenko [et al.]. - Текст : непосредственный // Big Data and Cognitive Computing. - 2024. - Т. 8, № 11. - P. 150. - ISSN 2504-2289, DOI 10.3390/bdcc8110150.
Аннотация:<jats:p>In recent years, cybersecurity management has increasingly required advanced methodologies capable of handling complex, evolving threat landscapes. Scenario network-based approaches have emerged as effective strategies for managing uncertainty and adaptability in cybersecurity projects. This article introduces a scenario network-based approach for managing cybersecurity projects, utilizing fuzzy linguistic models and a Takagi–Sugeno–Kanga fuzzy neural network. Drawing upon L. Zadeh's theory of linguistic variables, the methodology integrates expert analysis, linguistic variables, and a continuous genetic algorithm to predict membership function parameters. Fuzzy production rules are employed for decision-making, while the Mamdani fuzzy inference algorithm enhances interpretability. This approach enables multi-scenario planning and adaptability across multi-stage cybersecurity projects. Preliminary results from a research prototype of an intelligent expert system—designed to analyze project stages and adaptively construct project trajectories—suggest the proposed approach is effective. In computational experiments, the use of fuzzy procedures resulted in an over 25% reduction in errors compared to traditional methods, particularly in adjusting project scenarios from pessimistic to baseline projections. While promising, this approach requires further testing across diverse cybersecurity contexts. Future studies will aim to refine scenario adaptation and optimize system response in high-risk project environments.</jats:p>
Держатель оригинала документа:Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia, Department of Applied Informatics and Information Technology, Belgorod State University, 308015 Belgorod, Russia, Department of Information and Control Systems, Reshetnev Siberian State University of Science and Technology, 660037 Krasnoyarsk, Russia, Department of Mathematics, Physics, Chemistry and Information Technologies, Belgorod State Agricultural University Named After V. Gorin, 308503 Belgorod, Russia, Financial University, Scientific Department, Far Eastern Federal University, 690922 Vladivostok, Russia
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