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2006 First International Multi-Symposiums on Computer and Computational Sciences
A Novel Quantitative Analysis Method for Network Survivability
Hangzhou, Zhejiang, China
June 20-June 24
ISBN: 0-7695-2581-4
ASCII Text
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Guosheng Zhao, Huiqiang Wang, Jian Wang, "A Novel Quantitative Analysis Method for Network Survivability," Computer and Computational Sciences, International Multi-Symposiums on, vol. 2, pp. 30-33, 2006 First International Multi-Symposiums on Computer and Computational Sciences, 2006.
 
 
BibTex
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@article{ 10.1109/IMSCCS.2006.160,
author = {Guosheng Zhao and Huiqiang Wang and Jian Wang},
title = {A Novel Quantitative Analysis Method for Network Survivability},
journal ={Computer and Computational Sciences, International Multi-Symposiums on},
volume = {2},
year = {2006},
isbn = {0-7695-2581-4},
pages = {30-33},
doi = {http://doi.ieeecomputersociety.org/10.1109/IMSCCS.2006.160},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer and Computational Sciences, International Multi-Symposiums on
TI - A Novel Quantitative Analysis Method for Network Survivability
SN - 0-7695-2581-4
SP30
EP33
A1 - Guosheng Zhao,
A1 - Huiqiang Wang,
A1 - Jian Wang,
PY - 2006
KW - network survivability
KW - key service
KW - grey relation analysis
KW - decision matrix
KW - best affiliate degree
VL - 2
JA - Computer and Computational Sciences, International Multi-Symposiums on
ER -
 
Guosheng Zhao, Harbin Engineering University, China
Huiqiang Wang, Harbine Engineering University, China
Jian Wang, Harbin Engineering University, China
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.
Index Terms:
network survivability, key service, grey relation analysis, decision matrix, best affiliate degree
Citation:
Guosheng Zhao, Huiqiang Wang, Jian Wang, "A Novel Quantitative Analysis Method for Network Survivability," imsccs, vol. 2, pp.30-33, 2006 First International Multi-Symposiums on Computer and Computational Sciences, 2006
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