MATHEMATICAL MODEL AND IMPLEMENTATION OF CONTROLLING THE BEHAVIOR OF COMPUTERIZED PRODUCTION SYSTEM EMPLOYEES
Article Sidebar
Main Article Content
Abstract
When creating a mathematical model of controlling the behavior of employees in computerized production systems, the issues of building effective software systems for protection against internal attacks, which have features such as flexibility, were considered. In computerized production systems, the management and consolidation of initial data from the registration logs and operating system protocols, data presentation and storage methods are analyzed separately. The architecture of the consolidation system of computerized production is proposed. It is proposed to use digital technology to analyze and synthesize the collected data about the subject's activity in the computerized production system and to build a mathematical model of subjects' behavior based on associative rules. The constructed mathematical model can be visually presented to the administrator of the computerized production system as a network of dependencies, and can also be used to analyze anomalies in the behavior of system participants and to assess the level of potential threat arising from each subject.
Downloads
Article Details
Issue
Section
This work is licensed under a Creative Commons Attribution 4.0 International License.
Public License Terms
(For Open Journal Systems (OJS))
-
Copyright:
The copyright of the published article remains with the author(s). However, after publication, the article is distributed on the OJS platform under the Creative Commons (CC BY) license. -
License Type:
This article is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. This means users can utilize the article under the following conditions:- Copy and distribute: The text of the article or its parts can be freely distributed.
- Quote and analyze: Parts of the article can be used for quoting and analysis.
- Free use: The article can be freely used for research and educational purposes.
- Attribution: Users must provide proper attribution and reference to the original source.
-
Commercial use:
The article can be used for commercial purposes, provided that authorship and source are properly cited. -
Document modification:
The text or content of the article can be modified or adapted, as long as it does not harm the authorship. -
Liability disclaimer:
The author(s) are responsible for the accuracy of the information contained in the article. The editorial team of the platform is not liable for any damages resulting from the use of this information. -
Public usage obligations:
The content of the article must be used only in accordance with legal and ethical standards. Unauthorized use is strictly prohibited.
Note:
These license terms are designed to ensure transparency and openness in material usage. By accepting these terms, you agree to the adaptation and distribution of the article content under the terms of the Creative Commons license.
Link: Creative Commons Attribution 4.0 International (CC BY 4.0)
How to Cite
References
1. Naz, Shafaq, and Gautam Siddharth Kashyap. "Enhancing the predictive capability of a mathematical model for pseudomonas aeruginosa through artificial neural networks."International Journal of Information Technology 16.4 (2024): 2025-2034.
2. Amilo, David, et al. "A mathematical model with fractional-order dynamics for the combined treatment of metastatic colorectal cancer". Communications in Nonlinear Science and Numerical Simulation 130 (2024): 107756.
3. Marquez, Bogart Yail, et al. "Application of ordinary least squares regression and neural networks in predicting employee turnover in the industry". Archives of Advanced Engineering Science 2.1 (2024): 30-36.
4. Turner, Erin E., et al. "Authenticity of elementary teacher designed and implemented mathematical modeling tasks". Mathematical Thinking and Learning 26.1 (2024): 47-70.
5. Olayiwola, Morufu Oyedunsi, Adedapo Ismaila Alaje, and Akeem Olarewaju Yunus. "A Caputo fractional order financial mathematical model analyzing the impact of an adaptive minimum interest rate and maximum investment demand". Results in Control and Optimization 14 (2024): 100349.
6. Farman, Muhammad, et al. "Fractal Fractional Order Operators in Computational Techniques for Mathematical Models in Epidemiology". CMES-Computer Modeling in Engineering & Sciences 138.2 (2024).
7. Kabulov, Anvar, Inomjon Yarashov, and Salamat Mirzataev. "Development of the implementation of IoT monitoring system based on Node-Red technology". Karakalpak Scientific Journal 5.2 (2022): 55-64.
8. Kabulov, Anvar, Ilyos Kalandarov, and Inomjon Yarashov. "Problems of algorithmization of control of complex systems based on functioning tables in dynamic control systems". 2021 International Conference on Information Science and Communications Technologies (ICISCT). IEEE, 2021.
9. Ullah, Muhammad Asad, Nauman Raza, and Talat Nazir. "Mathematical simulations and sensitivity visualization of fractional order disease model describing human immunodeficiency". Alexandria Engineering Journal 87 (2024): 1-16.
10. Kabulov, Anvar, Inomjon Yarashov, and Alisher Otakhonov. "Algorithmic Analysis of the System Based on the Functioning Table and Information Security". 2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS). IEEE, 2022.
11. Feng, Xiangqian, et al. "Critical influencing factors of employees’ green behavior: Three-stage hybrid fuzzy DEMATEL–ISM–MICMAC approach". Environment, development and sustainability 26.7 (2024): 17783-17811.
12. Kabulov, Anvar, Ibrokhimali Normatov, Ilyos Kalandarov, and Inomjon Yarashov. "Development of an algorithmic model and methods for managing production systems based on algebra over functioning tables". In 2021 International Conference on Information Science and Communications Technologies (ICISCT), pp. 1-4. IEEE, 2021.
13. Kabulov, Anvar, Firdavs Muhammadiyev, and Inomjon Yarashov. "Analysis of information system threats". Science and Education 1.8 (2020): 86-91.
14. Mi, Lingyun, et al. "Knowledge mapping analysis of pro-environmental behaviors: research hotspots, trends and frontiers". Environment, Development and Sustainability (2024): 1-35.
15. Kabulov, Anvar, Inomjon Yarashov, and Dilfuza Vasiyeva. "Security Threats and Challenges in Iot Technologies". Science and Education 2.1 (2021): 170-178.