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Vulnerability Detection Using Two-Stage Deep Learning Models. (arXiv:2305.09673v1 [cs.CR])
cs.CR updates on arXiv.org arxiv.org
Application security is an essential part of developing modern software, as
lots of attacks depend on vulnerabilities in software. The number of attacks is
increasing globally due to technological advancements. Companies must include
security in every stage of developing, testing, and deploying their software in
order to prevent data breaches. There are several methods to detect software
vulnerability Non-AI-based such as Static Application Security Testing (SAST)
and Dynamic Application Security Testing (DAST). However, these approaches have
substantial false-positive and false-negative …
application application security attacks breaches companies data data breaches deep learning detection order security software stage testing vulnerabilities vulnerability vulnerability detection