Expert system with Fuzzy logic for protecting Scientific Information Resources

Abstract

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. As a model and solution method, a fuzzy model of second-type correspondences is proposed, which makes it possible to comprehensively solve the problem of identifying threats in the event of a situation, as well as provide recommendations on how to eliminate them. For the creation of a knowledge database, experts are involved who determine the functions of belonging to "Situation-Threat-Methods of eliminating threats". The research results are used in the expert system the corporate network of electronic libraries to protect scientific and educational information from unauthorized access.