INVESTIGATION OF CHANGES IN THE LEVEL OF NETWORK SECURITY BASED ON A COGNITIVE APPROACH
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Issue Vol. 14 No. 4 (2024)
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Main Article Content
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Abstract
A study was conducted on the impact of the most significant threats on the level of network security based on the examination of impulse processes on a fuzzy cognitive map. A topological analysis of the structure of the cognitive map was performed, simplicial complexes were constructed, and their structural vectors were determined. Based on the obtained data, a set of control and target concepts of the fuzzy cognitive map was formed, and the relationships between these concepts within the simplicial complexes were established. Taking this information into account, a study was conducted on the change in the level of computer network security using the propagation of impulses introduced into the control concepts of the fuzzy cognitive map. The results obtained enable an increase in the level of network security by considering the impact of the most significant threats through timely managerial decisions and the implementation of necessary software and technical measures.
Keywords:
References
[1] Apenko N. et al.: Information security of the computer system and network from internal and external attacks. 17th International scientific and practical conference "System analysis and intelligent systems for management". Turkey, Ankara, 2023, 431–434.
[2] Atkin R. H.: Combinatorial Connectivies in Social Systems: An Application of Simplicial Complex Structures to the Study of Large Organisations. Birkhäuser, Basel 1977. DOI: https://doi.org/10.1007/978-3-0348-5750-5
[3] Hindy H. et al.: A taxonomy of network threats and the effect of current datasets on intrusion detection systems. IEEE Access 8, 2020, 104650–104675 [https://doi.org/10.1109/ACCESS.2020.3000179]. DOI: https://doi.org/10.1109/ACCESS.2020.3000179
[4] Nahornyi O. V., Zhyrova T. O., Nahornyi V. V.: Problems of information security in computer systems and means and methods of their solution. II International Scientific and Practical Conference. USA, Chicago, 2023, 171–180.
[5] Roberts F. S.: Discrete Mathematical Models with Applications to Social, Biological, and Environmental Problems. Rutgers University, Prentice-Hall Inc., New Jersey 1976.
[6] Saliieva O. V., Yaremchuk Yu. Ye.: Investigation of the reliability of the impact of threats on the level of security of a computer network, determined by scenario modeling based on a cognitive approach. Visnyk of Vinnytsia Politechnical Institute 4, 2020, 98–104 [https://doi.org/10.31649/1997-9266-2020-151-4-98-104]. DOI: https://doi.org/10.31649/1997-9266-2020-151-4-98-104
[7] Saliieva O. V., Yaremchuk Yu. Ye.: Development of a cognitive model for analyzing the impact of threats on the level of security of a computer network. Data Recording, Storage & Processing 21(4), 2019, 28–39 [https://doi.org/10.35681/1560-9189.2019.21.4.199268]. DOI: https://doi.org/10.35681/1560-9189.2019.21.4.199268
[8] Wang B. et al.: A deep hierarchical network for packet-level malicious traffic detection. IEEE Access 8, 2020, 201728–201740 [https://doi.org/10.1109/ACCESS.2020.3035967]. DOI: https://doi.org/10.1109/ACCESS.2020.3035967
[9] Zang X. et al.: Attack scenario reconstruction via fusing heterogeneous threat intelligence. Computers & Security 133(20), 2023 [https://doi.org/10.1016/j.cose.2023.103420]. DOI: https://doi.org/10.1016/j.cose.2023.103420
[10] Zhong Y., Chen L.: Research on the application of improved V-detector algorithm in network intrusion detection. Applied Mathematics and Nonlinear Sciences 9(1), 2024, 1–14 [https://doi.org/10.2478/amns.2023.2.00526]. DOI: https://doi.org/10.2478/amns.2023.2.00526
[11] Zimba A. et al.: Modeling and detection of the multi-stages of Advanced Persistent Threats attacks based on semi-supervised learning and complex networks characteristics. Future Generation Computer Systems 106, 2020, 501–517 [https://doi.org/10.1016/j.future.2020.01.032]. DOI: https://doi.org/10.1016/j.future.2020.01.032
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