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Optimization Model of Adaptive Decision Taking Support System for Distributed Systems Cyber Security Facilities Placement
Artykuł w czasopiśmie
MNiSW
70
Lista 2021
Status: | |
Autorzy: | Kalizhanova Aliya, Akhmetov Sultan, Lakhno Valery, Wójcik Waldemar, Nabiyeva Gulnaz |
Dyscypliny: | |
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Rok wydania: | 2020 |
Wersja dokumentu: | Drukowana | Elektroniczna |
Język: | angielski |
Numer czasopisma: | 3 |
Wolumen/Tom: | 66 |
Strony: | 493 - 498 |
Web of Science® Times Cited: | 1 |
Bazy: | Web of Science |
Efekt badań statutowych | NIE |
Materiał konferencyjny: | NIE |
Publikacja OA: | TAK |
Licencja: | |
Sposób udostępnienia: | Otwarte czasopismo |
Wersja tekstu: | Ostateczna wersja opublikowana |
Czas opublikowania: | W momencie opublikowania |
Data opublikowania w OA: | 30 lipca 2020 |
Abstrakty: | angielski |
An article herein presents an optimization model, designated for computational core of decision-taking support system (DTSS). DTSS is necessary for system analysis and search of optimal versions for cybersecurity facilities placement and information protection of an enterprise or organization distributed computational network (DCN). DTSS and a model allow automize the analysis of information protection and cybersecurity systems in different versions. It is possible to consider, how separate elements, influence at DCN protection factors and their combinations. Offered model, in distinction from existing, has allowed implementing both the principles of information protection equivalency to a concrete threat and a system complex approach to forming a highly effective protection system for DCN. Hereby we have presented the outcomes of computational experiments on selecting the rational program algorithm of implementing the developed optimization model. It has been offered to use genetic algorithm modification (GAM). Based on the offered model, there has been implemented the module for adaptive DTSS. DTSS module might be applied upon designing protected DCN, based on preset architecture and available sets of information protection and cybersecurity systems in the network. |