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
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