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Fuzzy Model for Cyber Risk Assessment by sena is a document available to read on EtoBox.
This document summarizes a research article that proposes a new method for automatic cyber security risk assessment based on fuzzy fractional ordinary differential equations. The method models network security using concepts from artificial immunity and quantitatively calculates network security risk levels based on antibody concentration over time. It studies the existence and uniqueness of solutions to the differential equations and develops numerical methods to approximate solutions. The method allows re
- Author
- sena
- Language
- EN