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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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VULDEFF: Vulnerability detection method based on function fingerprints and code differences

Research datakeyboard_double_arrow_right Dataset 24 Apr 2024Publisher:Zenodo
Authors: Zhao, Qianchong; Huang, Cheng; Dai, Liuhu;

doi: 10.5281/zenodo.11056402 , 10.5281/zenodo.11056403

VULDEFF: Vulnerability detection method based on function fingerprints and code differences

Abstract

The dataset of VULDEFF. For more information, visit our GitHub. Due to the lack of large-scale, real, and uniformly formatted vulnerability datasets in the field of software security, we realize the automatic collection and processing of vulnerability patches and vulnerability source code and build a reliable and continuously updated patch and vulnerability source code dataset. The dataset includes 9,546 patch files of CVE and 24,920 unpatched vulnerable source code files, covering 464 programs, and can be extended to support other open source projects.

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    popularity
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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
Average
Average
Average