ASSESSMENT OF THE EFFICIENCY OF PROTECTION OF THE INFORMATION SYSTEM OF ENTERPRISES

DOI: 10.31673/2412-4338.2022.026375

Abstract

The paper evaluates the effectiveness of the use of functionally stable generalized information system of the enterprise. Diagnosis of the system in general. The following definitionassumption was used in the diagnosis: the amount of diagnostic information is the number of test results accumulated by the module before the execution of the algorithm, recorded during the mathematical modeling of the diagnostic procedure.
It is illustrated that the reliability of the diagnosis does not change due to the expansion of the system. This is due to the property of adaptive self-diagnosis - the ability to diagnose with a given reliability. Values of reliability significantly depend on the number of failures. As the number of failures increases, the reliability of diagnosis decreases, due to the peculiarities of the algorithm of analysis of test results, in which the whole set of modules is divided into two subsets - possible good and possible bad modules. It is the power of many possible faulty modules that influences decisionmaking, i.e. the reliability of diagnosis. Dependence of reliability on a priori probability of working condition of modules shows insignificant increase of reliability with increase of value of probability of working capacity that is also caused by features of algorithm of analysis of diagnostic information in which the decision on failures of modules is made directly taking into account value of probability of working capacity. The amount of diagnostic information is the number of test results accumulated by the module before executing the algorithm.
The property of adaptive self-diagnosis, in contrast to the existing ones, is considered in the work due to the increase in the time of diagnosis and the acceptable decrease in the reliability of the diagnosis. At the same time, the time of diagnosis is predictable and is within acceptable limits, which allows to detect failures in time, roll back the computational process and ensure the insensitivity of the computational process to failures of system modules.

Keywords: functional stability, graph model, graph-transitions, information system restoration, diagnostics, evaluation.

References
1. Volodymyr V. Pichkur, Valentyn V. Sobchuk Mathematical Model and Control Design of a Functionally Stable Technological Process. Journal Of Optimization, Differential Equations And Their Applications (JODEA). Volume 29, Issue 1, June 2021, pp. 32–41
2. Zaichenko Y., Honta Y. Structural optimization of computer networks. – К.: Machinery, 1986. – 168 p.
3. O.Laptiev, V.Savchenko, A. Kotenko, V.Akhramovych, V.Samosyuk, G.Shuklin, A.Biehun. Method of Determining Trust and Protection of Personal Data in Social Networks. International Journal of Communication Networks and Information Security (IJCNIS), Vol. 13, No. 1, 2021. рр.15-21. https://www.ijcnis.org/index.php/ijcnis/article/view/4882
4. S. Toliupa, N. Lukova-Chuiko, O. Oksiuk. Choice of Reasonable Variant of Signal and Code Constructions for Multirays Radio Channels. Second International Scientific-Practical Conference Problems of Infocommunications. Science and Technology. IEEE PIC S&T 2015. pp. 269 – 271.
5. A.O. Korchenko, V.O. Breslavskyi, S.P Yevseiev, N.K. Zhumangalieva, A.O. Zvarych, S.V. Kazmirchuk, O.A. Kurchenko, O.A. Laptiev, O. V. Severinov, S. S. Tkachuk. Development of a method for construction of linguistic standards for multicriterial evaluation of HONEYPOT efficiency. Eastern-European journal of enterprise technologies. Vol.1№2 (109), 2021 рр. 14–23. ISSN (print)1729 - 3774. ISSN (on-line) 1729-4061. DOI: 10.15587/1729-4061.2021.225346
6. N. Lukova-Chuiko, V. Saiko, V. Nakonechnyi, T. Narytnyk, M. Brailovskyi. Terahertz Range Interconnecting Line For LEO-System. 2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET), Lviv-Slavske, Ukraine. 2020. pp. 425– 429.
7. Oleksandr Laptiev, Vitalii Savchenko, Andrii Pravdyvyi, Ivan Ablazov, Rostyslav Lisnevskyi, Oleksandr Kolos, Viktor Hudyma. Method of Detecting Radio Signals using Means of Covert by Obtaining Information on the basis of
8. Random Signals Model. International Journal of Communication Networks and Information Security (IJCNIS), Vol. 13, No. 1, 2021. рр.48-54. https://www.ijcnis.org/index.php/ijcnis/article/view/4902
9. Andrusiak А., Demianchuk V., Yuriev Y. Aviation Telecommunication Network. – К.: NAU, 2001. – 446 p.
10. Brailovskyi, M. Saiko, V., Toliupa, S., Nakonechnyi, V., Models of Improving the Efficiency of Radio Communication Systems Using the Terrahert Range 2020 IEEE International Conference on Problems of Infocommunications Science and Technology, PIC S and T 2020 - Proceedingsthis link is disabled, 2021, стр. 192–196, 9468022
11. Oleksandr Laptiev, Oleh Stefurak, Igor Polovinkin, Oleg Barabash, Savchenko Vitalii, Olena Zelikovska. The method of improving the signal detection quality by accounting for interference. 2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (IEEE ATIT 2020) Conference Proceedings Kyiv, Ukraine, November 25-27. pp.172 –175.
12. Olifer V., Olifer N. Computer networks. Principles, technologies, protocols. – SPb: publishing house "Piter", 2000. – 672 p.
13. Lukova-Chuiko, N., Herasymenko, O., Toliupa, S., ...Laptieva, T., Laptiev, O. The method detection of radio signals by estimating the parameters signals of eversible Gaussian propagation. 2021 IEEE 3rd International Conference on Advanced Trends in Information Theory, ATIT 2021 - Proceedings, 2021, стр. 67–70.
14. Vlasyk, H., Zamrii, I., Shkapa, V., ...Kalyniuk, A., LaptievA, T. The method of solving problems of optimal restoration of telecommunication signals. 2021 IEEE 3rd International Conference on Advanced Trends in Information Theory, ATIT 2021 - Proceedings, 2021, стр. 71–75.
15. Savchenko, V., Akhramovych, V., Dzyuba, T., ...Lukova-Chuiko, N., LaptievA, T. Methodology for calculating information protection from parameters of its distribution in social networks. 2021 IEEE 3rd International Conference on Advanced Trends in Information Theory, ATIT 2021 - Proceedings, 2021, стр. 99–105.
16. Serhii Yevseiev, Oleksandr Laptiev, Sergii Lazarenko, Anna Korchenko, Іryna Manzhul. Modeling the protection of personal data from trust and the amount of information on social networks. Number 1 (2021), «EUREKA: Physics and Engineering» pp.24–31. DOI:10.21303/2461-4262.2021.001615.