Automated Analysis of Topics on Security in Research Papers
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Cybersecurity is a major concern in the field of information and communication technology. Topics like risk, vulnerability, exploit, attack, threat are related to security, thus revealing its complex nature. In order to take better security measures, vulnerabilities have to be identified. These topics are the subject of research papers in journals, and of Master’s, doctoral and postdoctoral theses. This paper proposes a model and several metrics for the analysis of topics related to vulnerabilities in scientific papers. This model has been validated based on an automated tool by analyzing over 400 research papers. The Common Vulnerabilities and Exposures (CVE) database was used as the main reference source for the existing vulnerabilities.
Security, Vulnerabilities, CVE, Correlations, Automated Analysis