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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Bibliographic Details

Published in:	Mathematical problems in engineering Vol. 2017; no. 2017; pp. 1 - 13
Main Authors:	Tang, Chaojing, Zhang, Bin, Feng, Chao, Meng, Qingkun
Format:	Journal Article
Language:	English
Published:	Cairo, Egypt Hindawi Publishing Corporation 01.01.2017 Hindawi John Wiley & Sons, Inc
Subjects:	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 Access:	Get full text
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