Applying the Fuzzy C-Means Clustering Algorithm to Campus Network Security Assessment Based on the Characteristics of Weighted Complex Networks

Author

Shou Zhi-qin ; Tao Jian-ping ; Zhou Jian

Author_Institution

Sch. of Manage., Hefei Univ. of Technol., Hefei, China

fYear

2010

fDate

24-26 Aug. 2010

Firstpage

1

Lastpage

5

Abstract

From the study of the two major characteristics of complex networks as a starting point, this paper presents a risk-conductivity as a weight side between neighbor nodes to construct a weighted complex network. Further, the concepts of weighted degree coefficient and weighted aggregation coefficient as well as their computing methods are given, and for the cluster analysis, a weighted fuzzy C-means clustering algorithm based on the weighted complex network features is formed by putting the two characteristic values. Finally, this method applied to assess a campus network security is verified by doing an experiment.

Keywords

Internet; computer network security; fuzzy set theory; pattern clustering; Internet security model; campus network security assessment; weighted aggregation coefficient; weighted complex network characteristics; weighted degree coefficient; weighted fuzzy C-means clustering algorithm; Algorithm design and analysis; Clustering algorithms; Complex networks; Conductivity; Educational institutions; Internet; Security;

fLanguage

English

Publisher

ieee

Conference_Titel

Management and Service Science (MASS), 2010 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-5325-2

Electronic_ISBN

978-1-4244-5326-9

Type

conf

DOI

10.1109/ICMSS.2010.5578374

Filename

5578374