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A Data-Mining Based Study of Security Vulnerability Types and Their Mitigation in Different Languages
May 15, 2024, 4:11 a.m. | G\'abor Antal, Bal\'azs Mosolyg\'o, Norbert V\'andor, P\'eter Heged\"us
cs.CR updates on arXiv.org arxiv.org
Abstract: The number of people accessing online services is increasing day by day, and with new users, comes a greater need for effective and responsive cyber-security. Our goal in this study was to find out if there are common patterns within the most widely used programming languages in terms of security issues and fixes. In this paper, we showcase some statistics based on the data we extracted for these languages. Analyzing the more popular ones, we …
arxiv cs.cr cs.se cyber data find goal languages mining mitigation online services patterns people security security vulnerability services study types vulnerability
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