Title :
Creation of a Fuzzy Knowledge Base for Adaptive Security Systems
Author :
Nesteruk, Philipp ; Nesteruk, Lesya ; Kotenko, Igor
Author_Institution :
Lab. of Comput. Security Problems, St. Petersburg Inst. for Inf. & Autom., St. Petersburg, Russia
Abstract :
To design next generation adaptive security systems the powerful intelligent components should be developed. The paper describes the fuzzy knowledge base specifying relationships between threats and protection mechanisms by Mathworks MATLAB Fuzzy Logic Toolbox. The goal is to increase the effectiveness of the system reactions by minimization of neural network weights. We demonstrate a technique for creation of a fuzzy knowledge base to improve the system protection via rules monitoring and correction.
Keywords :
adaptive systems; fuzzy set theory; knowledge based systems; security of data; MATLAB; adaptive security systems; fuzzy knowledge; fuzzy logic toolbox; neural network weights; rules monitoring; Adaptation models; Adaptive systems; Biological system modeling; Fuzzy logic; Knowledge based systems; MATLAB; Security; MATLAB Fuzzy Logic Toolbox; adaptive security rules; adaptive security system; fuzzy knowledge base;
Conference_Titel :
Parallel, Distributed and Network-Based Processing (PDP), 2014 22nd Euromicro International Conference on
Conference_Location :
Torino
DOI :
10.1109/PDP.2014.115
