DocumentCode
125653
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
fYear
2014
fDate
12-14 Feb. 2014
Firstpage
574
Lastpage
577
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel, Distributed and Network-Based Processing (PDP), 2014 22nd Euromicro International Conference on
Conference_Location
Torino
ISSN
1066-6192
Type
conf
DOI
10.1109/PDP.2014.115
Filename
6787332
Link To Document