Specifications

China
Corresponding author: Wang, H.-S. ([e-mail])
Source title: Proceedings - 2012 International Conference on Control Engineering and
Communication Technology, ICCECT 2012
Abbreviated source title: Proc. - Int. Conf. Control Eng. Commun. Technol., ICCECT
Monograph title: Proceedings - 2012 International Conference on Control Engineering and
Communication Technology, ICCECT 2012
Issue date: 2012
Publication year: 2012
Pages: 860-865
Article number: 6413977
Language: English
ISBN-13: 9780769548814
Document type: Conference article (CA)
Conference name: 2012 International Conference on Control Engineering and Communication
Technology, ICCECT 2012
Conference date: December 7, 2012 - December 9, 2012
Conference location: Shenyang, Liaoning, China
Conference code: 95648
Publisher: IEEE Computer Society, 2001 L Street N.W., Suite 700, Washington, DC 20036-4928,
United States
Abstract: Rough set classifier or SVM (Support Vector Machine) classifier is a typical machine
learning model. The Rough set classifier and SVM classifier are used to classify nodes as trust
nodes, strange nodes and malicious nodes. We use the Rough set classifier to replace the method
by settings of the threshold. The innovation of the article is to improve the computation accuracy
and the efficiency of the classification computation by using Rough set combined with SVM
classifier. In the cases where according to the value of an attribute or the values of two attributes
the corresponding classification result can be determined, we use the Rough set classifier. In
other cases, we use SVM classifier. Compared with existing security models, experiment results
indicate that the model can obtain the higher examination rate of malicious nodes and the higher
transaction success rate. © 2012 IEEE.
Number of references: 16
Main heading: Rough set theory
Controlled terms: Communication - Computational efficiency - Computer simulation -
Experiments - Network security - Support vector machines
Uncontrolled terms: Classification results - Computation accuracy - Machine learning
models - Malicious nodes - Rough set - Rough set classifiers - Security model -
SVM classifiers - SVM(support vector machine)
Classification code: 716 Telecommunication; Radar, Radio and Television - 723 Computer
Software, Data Handling and Applications - 723.5 Computer Applications - 901.3
Engineering Research - 921 Mathematics - 921.4 Combinatorial Mathematics, Includes
Graph Theory, Set Theory
DOI: 10.1109/ICCECT.2012.28
Database: Compendex