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Mathematical Problems in Engineering
Volume 2017 (2017), Article ID 5452396, 13 pages
https://doi.org/10.1155/2017/5452396
Research Article

Assisting in Auditing of Buffer Overflow Vulnerabilities via Machine Learning

School of Electronic Science and Engineering, National University of Defense Technology (NUDT), Changsha, Hunan, China

Correspondence should be addressed to Chao Feng

Received 1 July 2017; Revised 10 October 2017; Accepted 27 November 2017; Published 21 December 2017

Academic Editor: Nazrul Islam

Copyright © 2017 Qingkun Meng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Qingkun Meng, Chao Feng, Bin Zhang, and Chaojing Tang, “Assisting in Auditing of Buffer Overflow Vulnerabilities via Machine Learning,” Mathematical Problems in Engineering, vol. 2017, Article ID 5452396, 13 pages, 2017. doi:10.1155/2017/5452396