Title :
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.
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;
Conference_Titel :
Computer and Computational Sciences, 2006. IMSCCS '06. First International Multi-Symposiums on
Conference_Location :
Hanzhou, Zhejiang
Print_ISBN :
0-7695-2581-4
DOI :
10.1109/IMSCCS.2006.160
