FORMATION OF INFORMATION SECURITY SYSTEM UNDER CONDITIONS OF UNCERTAINTY OF INFLUENCE OF DESTABILIZATION FACTORS ON THE BASIS OF NEUROFACLE NETWORKS

Keywords: information, security, uncertainty, neural networks, risk

Abstract

The most important result of the formation of the information society of the XXI century was the emergence of a global information space, which unfolded a fierce struggle for information excellence. As a result, in modern society, information security is a critical component of national, regional and international security. The information security system should be aimed at ensuring information security as a property and as a state, as well as to create secure conditions for the use of information resources as an activity. Information is increasingly being used as a threat to competitors, information systems, software. Conceptual and scientific-methodological foundations of information security are still in the process of development and research. However, there are already models of information security and protection of information systems that try to answer the question: how to reduce the risk of system failure, what types of attacks can be eliminated, what types of threats exist. That is why the development of an economically determined risk assessment model for the information security system of the enterprise is an important aspect for the organization of the enterprise. Imbalances and failures in the information system can cause significant economic damage. That is why the creation of an ideal system that is certainly able to withstand the full set of threats requires significant costs, so the formation of an economically viable system to minimize information security risks at the level of the business entity is extremely important. At the enterprise level, the first step towards the formation of information security should be the development of a conceptual scheme, the overall structure of the information security model, which should be based on other models related to the protection of tangible and intangible assets and reduce the likelihood of information. At the organizational and managerial level, after a deep analysis under the guidance of a person directly responsible for the information security of the organization, coordinating and controlling it, aware of business goals, risks and threats, taking into account the opinions of experts, mathematical and functional models are formed, the organizational and corporate component of security is determined information system. Accordingly, the information security of an organization can be defined as the protection of information and supporting infrastructure from accidental or intentional impacts, natural or artificial, that could cause unacceptable damage.

References

Даник Ю. Г., Грищук Р. В. Основи кібернетичної безпеки: монографія / за ред. проф. Ю. Г. Даника. Житомир: ЖНАЕУ, 2016. 536 с.

Дудатьєв А. В. Моделі інформаційної підтримки управління комплексною інформаційною безпекою. Радіоелектроніка, інформатика, управління. 2017. № 1. С. 107–114.

Булдакова Т. І., Міков Д. А. Оцінка інформаційних ризиків в автоматизованих системах за допомогою нейро-нечіткої моделі. Наука та освіта. 2013. №11. С. 295–310.

Пилипчук В.Г., Брижко В.М., Баранов О.А. та ін. Становлення і розвиток правових основ та системи захисту персональних даних в Україні: монографія / за ред. Брижка В.М., Пилипчука В.Г. Київ: ТОВ «Видавничий дім «АртЕк», 2017. 226 с.

Бельфер Р.А., Калюжний Д.А., Тарасова Д.В. Анализ зависимости уровня риска информационной безопасности сетей связи от экспертных данных при расчетах с использованием модели нечетких множеств. Вопросы кибербезопасности. 2014. №1 (2). С. 33–39.

Миков Д.А. Основные этапы оценки информационных рисков и способы их реализации. Теоретические и прикладные аспекты современной науки. 2014. №5. 3. С. 103–106

Компьютерная преступность и информационная безопасность / за. ред. А. П. Леонова. Минськ: АРИЛ, 2017. 452 с.

Атаманов А. Н. Модуль нечеткого вывода на основе нейронных сетей для динамического итеративного анализа рисков информационной безопасности. Безопасность информационных технологий. 2011 року. Т 18. C. 7–9.

Dany`k Yu. G., Gry`shhuk R. V. Osnovy` (2016) Kibernety`chnoyi bezpeky`: monografiya [Fundamentals of Cyber Security]. Zhy`tomy`r: ZhNAEU.

Dudatiev A. V. (2017) Modeli informatsiinoi pidtrymky upravlinnia kompleksnoiu informatsiinoiu bezpekoiu [Models of information support for integrated information security management]. Radioelectronics, computer science, upravlinnia, no 1, pp. 107–114.

Buldakova T.I., Mikov D.A. (2013) Otsenka informatsionnykh riskov v avtomatizirovannykh sistemakh s pomoshch’yu neyronetchyotkoy modeli [Assessment of information risks in automated systems using a neuro-fuzzy model]. Science and education. no 11. pp. 295–310.

Pylypchuk V.H., Bryzhko V.M., Baranov O.A., Miller К.С. (2017) Stanovlennia i rozvytok pravovykh osnov ta systemy zakhystu personalnykh danykh v Ukraini [Formation and development of legal foundations and system of personal data protection in Ukraine]. Kyiv: ArtEk Publishing House LLC

Belfer R.A., Kaliuzhnyi D.A., Tarasova D.V. (2014) Analyz zavysymosty urovnia ryska ynformatsyonnoi bezopasnosty setei sviazy ot ekspertnikh dannikh pry raschetakh s yspolzovanyem modely nechetkykh mnozhestv. [Analysis of the dependence of the level of information security risk of communication networks on expert data when calculating using the fuzzy sets model]. Cybersecurity issues. no 2. pp. 33–39.

Mikov D.A. (2014) Osnovni etapy otsinky informatsiinykh ryzykiv ta sposoby yikh realizatsii [The main stages of information risk assessment and how to implement them]. Theoretical and applied aspects of modern science. no 3. pp. 103–106.

Leonov A.P. (ed.) (2017) Komp'yuternaya prestupnost' i informatsionnaya bezopasnost'. [Computer crime and information security]. Minsk: ARIL.

Atamanov A. N. (2011) Modul' nechetkogo vyvoda na osnove neyronnykh setey dlya dinamicheskogo iterativnogo analiza riskov informatsionnoy bezopasnosti [Fuzzy inference module based on neural networks for dynamic iterative analysis of information security risks]. Information technology security no 1. pp.7–9.

Article views: 185
PDF Downloads: 142
Published
2022-01-28
How to Cite
Oglih, V., & Patoka, H. (2022). FORMATION OF INFORMATION SECURITY SYSTEM UNDER CONDITIONS OF UNCERTAINTY OF INFLUENCE OF DESTABILIZATION FACTORS ON THE BASIS OF NEUROFACLE NETWORKS. Economic Scope, (177), 76-81. https://doi.org/10.32782/2224-6282/177-13
Section
MATHEMATICAL METHODS, MODELS AND INFORMATION TECHNOLOGIES IN ECONOMY

Most read articles by the same author(s)