Expert system with Fuzzy logic for protecting Scientific Information Resources
Sherbek NormatovInformation security department, Karshi branch of the Tashkent University of Information, Technologies named after Muhammad al-Khwarizmi, Karshi, UzbekistanMarat RakhmatullaevLibrary information systems department, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan
2020 International Conference on Information Science and Communications Technologies (ICISCT)conference2020en
ABI
Аннотация
Analysis of the state of development of research on the protection of valuable scientific and educational databases, library resources, information centers, publishers show the importance of information security, especially in corporate information networks and systems for data exchange. Corporate library networks include dozens and even hundreds of libraries for active information exchange, and they (libraries) are equipped with information security tools to varying degrees. The purpose of the research is to create effective methods and tools to protect the databases of the scientific and educational resources from unauthorized access in libraries and library networks using fuzzy logic methods.
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