论文信息 - Using fuzzy logic for vulnerability assessment in telecommunication network

Using fuzzy logic for vulnerability assessment in telecommunication network

Modern telecommunication networks include different software kinds and operation systems with a large number of vulnerabilities. It is very important to assess risk levels for them. We suggested a method for vulnerability risk assessment in telecommunication networks. It is based on the Common Vulnerability Scoring System (CVSS) V3, expert judgments and fuzzy logic. We used fuzzy production rules to describe expert's knowledge about risks. We suggested a fuzzy inference method for these fuzzy rules. The risk assessment method has some advantages over CVSS V3. It is able to work under uncertainty and providing there are gaps in the source information.

I. V. Anikin | I. Anikin

[1] Michio Sugeno,et al. Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[2] Harold Booth,et al. CVSS Implementation Guidance , 2014 .

[3] E. H. Mamdani,et al. Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis , 1976, IEEE Transactions on Computers.

[4] Igor V. Anikin,et al. Information security risk assessment and management method in computer networks , 2015, 2015 International Siberian Conference on Control and Communications (SIBCON).

[5] I. Anikin. Knowledge Representation Model and Decision Support System for Enhanced Oil Recovery Methods , 2022 .

[6] Igor Anikin,et al. Information security risk management in computer networks based on fuzzy logic and cost/benefit ratio estimation , 2015, SIN.

[7] lgor Anikin,et al. New Type of Takagi-Sugeno Fuzzy Inference System as Universal Approximator , 2014 .

[8] Lotfi A. Zadeh,et al. The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .

[9] John B. Shoven,et al. I , Edinburgh Medical and Surgical Journal.

[10] Michael G Williams,et al. A Risk Assessment on Raspberry PI using NIST Standards , 2018 .

[11] Robert LIN,et al. NOTE ON FUZZY SETS , 2014 .

[12] Yva Doually,et al. Information Technology , 1997, IFIP Advances in Information and Communication Technology.