• 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