Assisting in Auditing of Buffer Overflow Vulnerabilities via Machine Learning

Buffer overflow vulnerability is a kind of consequence in which programmers’ intentions are not implemented correctly. In this paper, a static analysis method based on machine learning is proposed to assist in auditing buffer overflow vulnerabilities. First, an extended code property graph is constr...

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Vydané v:	Mathematical problems in engineering Ročník 2017; číslo 2017; s. 1 - 13
Hlavní autori:	Tang, Chaojing, Zhang, Bin, Feng, Chao, Meng, Qingkun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cairo, Egypt Hindawi Publishing Corporation 01.01.2017 Hindawi John Wiley & Sons, Inc
Predmet:	Algorithms Artificial intelligence Automation Buffers Classifiers Engineering International conferences Machine learning Overflow Programming languages Recall Servers Software engineering Source code
ISSN:	1024-123X, 1563-5147
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