Models and algorithms for analyzing information risks during the security audit of personal data information system

Kostiuk, Yuliia та Skladannyi, Pavlo та Sokolov, Volodymyr та Hulak, Hennadii та Korshun, Natalia (2025) Models and algorithms for analyzing information risks during the security audit of personal data information system Cyber Hygiene & Conflict Management in Global Information Networks 2024, 3925. с. 155-171. ISSN 1613-0073

Текст Y_Kostiuk_P_Skladannyi_V_Sokolov_H_Hulak_N_Korshun_CH&CMiGIN 2024.pdf Download (2MB)

Анотація

Security audits of information systems, including systems containing personal data, are a necessary step to ensure an adequate level of security in the face of growing cyber threats. Given the complexity and diversity of risks that may affect the confidentiality, integrity, and availability of information, effective tools for assessing and formulating recommendations are key to optimizing resources and strengthening security. The proposed risk analysis model uses methods that allow you to focus on identifying hidden threats, which significantly increases the efficiency of auditors. The intelligent system used for personal data security audits determines the level of security, assesses possible risks, and suggests measures to reduce potential threats. This approach contributes to the continuous improvement of the security and reliability of information systems in the context of the dynamic evolution of technologies and cyber threats.

Тип елементу :	Стаття
Ключові слова:	information security; personal data; risk assessment; fuzzy logic; model; decision support system; security audit; risk managemen
Типологія:	Статті у базах даних > Scopus
Підрозділи:	Факультет інформаційних технологій та математики > Кафедра інформаційної та кібернетичної безпеки ім. професора Володимира Бурячка
Користувач, що депонує:	Павло Миколайович Складанний
Дата внесення:	12 Бер 2025 08:41
Останні зміни:	12 Бер 2025 08:41
URI:	https://elibrary.kubg.edu.ua/id/eprint/51241

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