Публікація: Development of a method for detecting cyber attacks on information systems based on artificial intelligence technologies
Дата
2025
Автори
Odarushchenko, O. B.
Одарущенко, Олена Борисівна
Назва видання
ISSN
Назва тому
Видання
Eastern-European Journal of Enterprise Technologies
Анотація
The object of this research is arti¬ficial immune systems. The problem addressed in the study is improving the responsiveness of cyberattack detection in information systems while ensuring a predetermined level of convergence, regardless of the num¬ber of destabilizing factors. The sub-ject of the research is the cyberattack detection process.
A cyberattack detection method for information systems based on arti-ficial intelligence technologies is pro¬posed. The originality of the method lies in the use of additional enhanced procedures that allow:
– initializing the initial popula¬tion of swarm agents and verifying information system parameters using an improved bat algorithm, which minimizes the error of entering incor¬rect data concerning the operational information system of military forces;
– performing initial identification of attacks specific to the given infor-mation system using a decision tree;
– adapting to the type and dura¬tion of cyberattacks through multi-lev¬el adaptation of the artificial immune system;
– conducting initial selection of antibodies for each swarm of the artificial immune system using an improved genetic algorithm;
– training general-swarm anti¬bodies using elite-swarm antibodies, thereby enabling deep learning;
– replacing unfit individuals for search through antibody population renewal;
– performing simultaneous solu¬tion search in multiple directions;
– calculating the required amount of computational resources in cases where available resources are insuf¬ficient for the necessary calculations.
An example application of the proposed method was conducted for cyberattack detection in an operation¬al military force group. The results demonstrated an average increase in detection accuracy by 16%, an aver-age improvement in responsiveness by 12%, and a high result convergence level of 95.23%
Опис
Ключові слова
cyberattacks, decision tree, genetic algorithm, destabilizing factors, military force grouping
Бібліографічний опис
Development of a method for detecting cyber attacks on information systems based on artificial intelligence technologies / S. R. Owaid et. al. Eastern-European Journal of Enterprise Tech¬nologies. 2025. № 3 (9 (135)). Pp. 33–39.