Russian Federation
Russian Federation
Russian Federation
Corporate information systems are exposed to risks from user behavioral anomalies, such as unusual access patterns indicating insider threats or account compromises. This paper develops and tests an agent-based simulation model using AnyLogic platform. The model captures authentication dynamics, resource navigation, and role-based access dynamics, achieving high anomaly detection accuracy in controlled simulations. Results highlight the approach's potential for proactive monitoring and risk reduction in enterprise systems. The proposed methodology demonstrates detection accuracy up to 92% with low false positive rates under realistic workloads.
simulation modeling, behavioral anomalies, corporate IS, agent-based modeling, UEBA
1. Titov M.Yu. Puti povysheniya effektivnyh sposobov zaschity informacii v bespilotnyh letatel'nyh apparatah dvoynogo naznacheniya // Modelirovanie sistem i processov. – 2024. – T. 17, № 2. – S. 82-92. – DOIhttps://doi.org/10.12737/2219-0767-2024-17-2-82-92. – EDN IQOQPI.
2. Verizon. Otchet o rassledovaniyah narusheniy dannyh (Data Breach Investigations Report). – 2025. – 150 s.
3. IBM Security. Otchet o kiberugrozah (X-Force Threat Intelligence Index). – 2026. – 112 s.
4. Banokin P.I. Model' povedeniya pol'zovatelya korporativnoy informacionnoy sistemy // Doklady TUSUR. – 2023. – T. 26, № 4. – S. 78-83. – DOIhttps://doi.org/10.21293/1818-0442-2023-26-4-78-83.
5. Poluektov A.V., Zol'nikov K.V., Anciferova V.I. Modelirovanie kolebatel'nyh processov v pakete MVStudium // Modelirovanie sistem i processov. – 2021. – T. 14, № 4. – S. 139-148. – DOIhttps://doi.org/10.12737/2219-0767-2021-14-4-139-148. – EDN PPOUDI.
6. Poluektov A.V., Makarenko F.V., Medvedev R.Yu. Komp'yuternoe modelirovanie raboty tranzistorov i poluprovodnikovyh priborov na ego osnove // Modelirovanie sistem i processov. – 2023. – T. 16, № 1. – S. 77-84. – DOIhttps://doi.org/10.12737/2219-0767-2023-16-1-77-84. – EDN LOLZMT.
