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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1007/978-98...
Part of book or chapter of book . 2020 . Peer-reviewed
License: Springer TDM
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A Detection Approach for Buffer Overflow Vulnerability Based on Data Control Flow Graph

Authors: Jinfu Chen; Qihao Bao; Qingchen Zhang; Jinchang Hu; Patrick Kwaku Kudjo;

A Detection Approach for Buffer Overflow Vulnerability Based on Data Control Flow Graph

Abstract

Buffer overflow vulnerability is currently one of the major security problems for programming languages written in C/C ++. To address this issue, existing studies have proposed varied detection techniques to eliminate buffer overflow vulnerability. However, these approaches are still far from finding an ideal solution to completely reduce buffer overflow vulnerability. This paper presents a detection approach for buffer overflow vulnerability based on Data Control Flow Graph (DCFG). The proposed approach first uses the dangerous function identification method to determine the dangerous points and the type of dangerous functions. We then construct the constraint rules of the dangerous function at the dangerous point to establish the constraint system. Finally, the constraint system is solved to obtain the result of the vulnerability determination. To explore this approach, we performed an extensive experiment and compared empirically with existing vulnerability detection tools. The result shows that the proposed method has a good effect on buffer overflow vulnerability detection, and can effectively improve detection efficiency.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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