AutoVAS: An automated vulnerability analysis system with a deep learning approach

[Display omitted] Owing to the advances in automated hacking and analysis technologies in recent years, numerous software security vulnerabilities have been announced. Software vulnerabilities are increasing rapidly, whereas methods to analyze and cope with them depend on manual analyses, which resu...

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Veröffentlicht in:	Computers & security 2021-07, Vol.106, p.102308, Article 102308
Hauptverfasser:	Jeon, Sanghoon, Kim, Huy Kang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Automation Cybersecurity Data-driven security Datasets Deep learning Embedding Machine learning Program slicing Security Software Software reliability Source code Static analysis Vulnerability detection
Online-Zugang:	Volltext
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