Our website uses cookies. By continuing to use this site, you agree to our use of cookies in accordance with this notice and the Terms of Use.
Journals
Books
Monographies Textbooks
News
Submit manuscript
National Security and Strategic Planning
Journals / National Security and Strategic Planning / Issue 2, 2026 / A basic experiment to adjust working regulations in the automated system in the interests of countering IT-insiding
UDC 004.056

A BASIC EXPERIMENT TO ADJUST WORKING REGULATIONS IN THE AUTOMATED SYSTEM IN THE INTERESTS OF COUNTERING IT-INSIDING A basic experiment to adjust working regulations in the automated system in the interests of countering IT-insiding

Published in National Security and Strategic Planning · Issue 2, 2026 · Pages 18–25 · Rubric: Information Security
DOI: https://doi.org/10.37468/2307-1400-2026-2-18-25
Received: 14.04.2026 Accepted: 25.06.2026 Published: 30.07.2026
Authors
GR
Grigory Moiseenko
KO
Konstantin Izrailov
ORCID SPIN
ABSTRACT
This study addresses countering unintentional IT insider activity, understood as actions by operators of automated systems that violate official job regulations as a result of behavioural deviation. This problem is reduced to an optimization problem, for which the authors have previously proposed an analytical model and a hybrid method for solving it. To enable their practical application, a corresponding software tool was developed; its operating logic and functionality are presented in this article. The following ten user profiles are proposed, reflecting factors and characteristics of behavioural deviation: impaired colour perception, reading difficulties, severe fatigue, experienced user, low vision, working memory impairment, no deviation, stress, time pressure, and ordinary user. A baseline experiment is conducted to enhance the robustness of the operator’s activity regulations in the context of an authorization interface, demonstrating the viability of all the scientific and practical results obtained.
KEYWORDS
automated system, information security, operator, user profile, operational regulations, behavioural deviation, software prototype, experiment
Text References
Text
Text (PDF)
Read Download

1. Abdullin T.I., Baev V.D., Buinevich M.V., Burzunov D.D., Vasilyeva I.N., Galiullina E.F., et al. Digital Technologies and Information Security Issues: A Monograph. – St. Petersburg: UNECON, 2021. – 163 p.

2. Vlasov D.S. On the Issue of Organizational Insider Motivation and Classification Methods // Electronic Multidisciplinary Journal "Scientific Works of KubSTU". – 2022. – No. 1. – P. 128–147.

3. Matveev A.V., Matveev V.V. A Systems-Cybernetic Approach to Defining the Concept of "Security" // National Security and Strategic Planning. – 2015. – No. 1 (9). – P. 18–25.

4. Buinevich M.V., Ivanov I.I. Enhancing the "Resilience" of Operational Procedures as a Means to Counter Unintentional Insider Activity // Cybersecurity Issues. – 2024. – No. 6 (64). – P. 108–116. – DOIhttps://doi.org/10.21681/2311-3456-2024-6-108-116.

5. Moiseenko G.Yu. Software-Algorithmic Architecture of an Intelligent System for Adjusting Automated System Operating Instructions to Ensure Information Security // Scientific-Analytical Journal "Bulletin of the St. Petersburg University of the State Fire Service of EMERCOM of Russia". – 2026. – No. 3. – P. 186–202. – DOIhttps://doi.org/10.61260/2218-130X-2026-3-186-202

6. Vostrykh A.V. Algorithm for evaluating the visual aesthetics of interfaces in specialized software products used by emergency services // National Security and Strategic Planning. – 2024. – No. 3 (47). – P. 77–89. – DOI:https://doi.org/10.37468/2307-1400-2024-3-77-89.

7. Moiseenko G.Yu. Formal problem statement for countering unintentional insider threats in an organization through the adjustment of job descriptions // Information Protection. Inside. – 2025. – No. 6 (126). – P. 61–69.

8. Taik A.M., Lupin S.A., Khaing M.T. Methods for improving the efficiency of the brute-force algorithm: a case study of the unbounded knapsack problem // International Journal of Open Information Technologies. – 2023. – Vol. 11. – No. 5. – P. 41–46.

9. Sarin K.S. A hybrid "Cuckoo Search" multi-criteria optimization algorithm incorporating a genetic crossover operator // Artificial Intelligence and Decision Making. – 2024. – No. 2. – P. 87–105. – DOIhttps://doi.org/10.14357/20718594240207.

10. Pivanova D.N., Fedorova T.A. Efficiency analysis of modified simulated annealing methods in non-convex optimization problems // Science Week of St. Petersburg State Marine Technical University. – 2024. – Vol. 2. – No. 1. – P. 208–218. 11. Danilova M.V., Mollon J.D. Color categories and color discrimination // Experimental Psychology. – 2010. – Vol. 3. – No. 3. – P. 39–56.

11. Danilova M.V., Mollon D.D. Cvetovye kategorii i cvetorazlichenie // Eksperimental'naya psihologiya. – 2010. – T. 3. – № 3. – S. 39–56.

12. Elisov L.N. On the accuracy of heuristic algorithms for solving optimization problems in operations // Scientific Bulletin of the Moscow State Technical University of Civil Aviation. – 2012. – No. 179. – P. 123–126.

PDF JATS XML
The contact persons
Chairman of editorial board
Vladimir Matveev
070355mvv@gmail.com +7(911)791-08-80
4
downloads
RINC
© futurepubl.ru
Agreement Personal data protection and processing policy Powered by Editorum, 2026
Login or Create
* Forgot your password?