A Study on Cloud Security Growth Model using Non Homogenous Poisson Process
Keywords:
Security Growth Model, Non Homogenous Poisson Process (NHPP), Cumulative Distribution Function (CDF), Probability Distribution Function (PDF), Expected VulnerabilityAbstract
Software Security is one of the most important attributes for securing reliable and trustworthy software but unfortunately it is being least attentive among all others attributes. There are a number of models available for all the attributes like reliability, maintainability but security model is not yet developed. In this paper we propose security growth model based on log logistic that will provide a critical analysis of the underlying postulation and analyze the applicability of the proposed model during the entire process of software development. The security growth model (SGM) will play important role to provide quantitative approach to assess software in security concerns. SGM has been used to describe best performance in terms of predictability, probability and goodness-of-fit and so forth.
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