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Article
License: CC BY NC
Data sources: UnpayWall
https://doi.org/10.2991/lemcs-...
Article . 2014 . Peer-reviewed
Data sources: Crossref
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Buffer Overflow Vulnerability Detection based on Format-Matching on Source Level

Authors: Zhao Zhang; Qiaoyan Wen; Xiaoyu Wang;

Buffer Overflow Vulnerability Detection based on Format-Matching on Source Level

Abstract

Buffer overflow has become the most common software vulnerability, which seriously restricts the development of the software industry. It’s very essential t o find out an effective method to detect this kind of software bugs accurately. In this paper, we design an improved buffer overflow detection system. At first, our system preprocesses the source code to add some auxiliary detection symbols. Then, it scans the source code by a static detector, which uses the identifier for auxiliary detection and combines with a dynamic detection method to improve the recognition accuracy and detection capability. Finally, we make a comparison between our system and the original detection system. To assess the usefulness of this approach, several experiments are performed on a simulation system, and we can draw a conclusion that our system performs better than other detection software. The method proposed in this paper is of the important application value and can improve

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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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