
A Fuzzy Based Analysis of Software Confidentiality at Specific Stage
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d9258.118419
Subject(s) - confidentiality , computer science , metric (unit) , software , fuzzy logic , data mining , task (project management) , computer security , artificial intelligence , systems engineering , engineering , operations management , programming language
Mostly software security flaws are most important for the customers and industry. Assessing software security is necessary to reduce faults. Various quantification methods are available include fault, errors, and vulnerabilities from various perspectives. It is a very difficult task to quantify security through a model. Experts develop a new innovative idea or constructive way of evaluating security attributes such as confidentiality. In this paper, the attention that how reduces the fault during the uses of a confidentiality environment. Experts evaluate the literature review with limitations and various quantification techniques that can develop a model. The proposed model uses fuzzy techniques to correlate their parameters with the software metric sat design level. In the developed model, one can generate the surface boundary with parameters and given the complete index value of the confidentiality index.