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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Mathematical problems in engineering Jg. 2017; H. 2017; S. 1 - 13
Hauptverfasser:	Tang, Chaojing, Zhang, Bin, Feng, Chao, Meng, Qingkun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cairo, Egypt Hindawi Publishing Corporation 01.01.2017 Hindawi John Wiley & Sons, Inc
Schlagworte:	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
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!