DocumentCode :
3396718
Title :
Dependability analysis of SSE based on parametric estimation
Author :
Ren Zhengping ; Huang Song ; Yao Yi
Author_Institution :
Inst. of Commun. Eng., PLAUST, Nanjing, China
fYear :
2011
fDate :
19-22 Aug. 2011
Firstpage :
1876
Lastpage :
1879
Abstract :
Software Security Evaluation (SSE) is an important activity for information security assurance. While the exiting SSE is very lack of dependability information for evaluation conclusion. In this paper, confidence measure was chosen as the indicator of dependability, and a quantitative analysis method based on parametric estimation theory was proposed. First, SSE conclusion was modeled as a stochastic variable conforms to the normal distribution. Second, confidence measure computing equation by big samples was given based on traditional mathematical statistics. Finally, to improve the practicability of the analysis method, the small samples situation was considered, and the confidence measure computing method was present based on Bayes statistics. This dependability analysis method is suit for SSE system which conclusion is explicit value. And it can bring confidence information of SSE to all the stakeholders of the target software for scientific decisions.
Keywords :
Bayes methods; normal distribution; parameter estimation; security of data; stochastic processes; Bayes statistics; SSE; confidence measure computing equation; dependability analysis method; information security assurance; mathematical statistics; normal distribution; parametric estimation theory; quantitative analysis method; software security evaluation; stochastic variable; Computational modeling; Estimation; Mathematical model; Security; Software; Software measurement; Stochastic processes; confidence measure; dependability alalysis; mathematical statistic; parametric estimation; software security evaluation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
Conference_Location :
Jilin
Print_ISBN :
978-1-61284-719-1
Type :
conf
DOI :
10.1109/MEC.2011.6025851
Filename :
6025851
Link To Document :
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