Moscow, Moscow, Russian Federation
Moscow, Moscow, Russian Federation
The aim of this work is to design a model of an automated system for analyzing the psychological state factors of enterprise employees to enhance the level of information security. To achieve this goal, the article formulates the main tasks of the automated system for analyzing the psychological state factors of enterprise employees, presents the structure and functional IDEF model of the designed automated system, and provides an algorithm for assessing the psychological state of enterprise employees developed by the authors. The novelty of the work lies in the proposed creative concept of using expert systems and artificial neural networks as auxiliary mechanisms for automated analysis of psychological state factors of enterprise employees. Additionally, the work investigates the special role of assessing employees’ sociability. The result of the research is a set of recommendations for applying the proposed model of the automated system both for enterprises classified as subjects of critical information infrastructure and in security systems of «smart cities».
automation, information security, information protection, analysis of psychological state factors, countering social engineering methods.
1. Kuznetsova N.M. Methodology of Protection Against Targeted Cyber Attacks of Increased Complexity in Automated Systems of an Industrial Enterprise. Moscow: Yanus-K; 2024.
2. Kuznetsova N.M. Application of Biometric Authentication in Automated System of Critical Enterprise Resource Protection. Moscow: Janus-K; 2023.
3. Kuznetsova N.M., Karlova T.V., Bekmeshov A.Yu. Solution of Protection Automation Problem of Company Strategic Resources Against Complex Cyberattacks Based on Criminal Tactics Analysis. Bulletin of Bryansk State Technical University. 2020;7(92):48-53. doi:https://doi.org/10.30987/1999-8775-2020-7-48-53
4. Kuznetsova N.M., Karlova T.V., Bekmeshov A.Yu. Designing an Auxiliary Automated Management Decision-Making System Based on Information Security Level Analysis. Automation and Modelling in Design and Management. 2023;3(21):13-22.
5. Kuznetsova NM, Karlova TV, Bekmeshov AY. Method of Timely Prevention from Advanced Persistent Threats on the Enterprise Automated Systems. In: Proceedings of the 2022 International Conference on Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS); 2022. p. 158-161.
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7. Kuznetsova N.M., Karlova T.V., Bekmeshov A.Y. Construction of a Modular Structure of an Automated System for Integrating Support for the Protection of Strategically Important Resources of a Transport Enterprise. Bulletin of Bryansk State Technical University [Internet]. 2021;9(106):36-42. Available from: https://doi.org/10.30987/1999-8775-2021-9-36-42
8. Kuznetsova N.M., Karlova T.V., Bekmeshov A.Y. Hierarchical Levels of Confidentiality of Industrial Enterprises’ Information Resources Depending on Stages of the Production Life Cycle. Automation and Modelling in Design and Management. 2024;4(26):59-65.
