A Novel Quantitative Analysis Method for Network Survivability

Author

Zhao, Guosheng ; Wang, Huiqiang ; Wang, Jian

Author_Institution

Sch. of Comput. Sci. & Technol., Harbin Eng. Univ.

Volume

2

fYear

2006

fDate

20-24 June 2006

Firstpage

30

Lastpage

33

Abstract

Through analyzing the changes of key services´ performance index value before and after evaluation, this paper proposed a novel quantitative analysis method for network survivability based on grey relational analysis. Starting with the normalization of decision matrix with interval number, the proposed method firstly applied grey relational analysis to assess the best affiliate degree and survival probability of every key service. Then, it analyzed the changes of every key service´s survivability based on network entropy difference. Finally, it obtained the synthetical analysis for the whole network survivability. Simulation experiments show the proposed method is feasible and effective in the analysis of the actual network survivability

Keywords

computer network reliability; grey systems; matrix algebra; performance evaluation; probability; telecommunication security; decision matrix normalization; grey relational analysis; key service survivability analysis; network entropy; network security; network survivability; performance index value; probability; quantitative analysis method; simulation; Accidents; Analysis of variance; Analytical models; Complex networks; Computer networks; Computer science; Electronic mail; Entropy; Information analysis; Performance analysis; best affiliate degree; decision matrix; grey; key service; network survivability; relation analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Computational Sciences, 2006. IMSCCS '06. First International Multi-Symposiums on

Conference_Location

Hanzhou, Zhejiang

Print_ISBN

0-7695-2581-4

Type

conf

DOI

10.1109/IMSCCS.2006.160

Filename

4673673