Vulnerabilities and Digital Violations in Software Products: Logistic Regression Analysis

Human being are living in an era where network communication over 5G cellular infrastructure is gaining in fashion. In an environment of integrated technologies along with distributed architectures, there are variety of software spaces which need to be managed. Software, whether proprietor one or open source, may have variety of vulnerabilities which an attacker can exploit and which may compromise the CIA triad of a system. This article performs an analysis of various software vulnerabilities in diverse software products of major OS software vendors by using the logistic regression technique on Common Vulnerabilities and Exposures (CVE) details data which is derived from National Vulnerability Database. The logistic regressions have been estimated, with the help of STATA, for software vulnerability types of various kinds as dependent binary variables and several independent variables like vulnerability scores, a continuous variable and CIA triad, gained access level, access, authenticity and complexity as categorical variables.