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Published May 7, 2022 | Version 1.0

VDocScan - Dataset

  • 1. University of Washington Bothell

Description

This dataset contains the data used for evaluating VDocScan - a keyword extraction based security vulnerability prediction method. The repository includes an extensive list of Products and Vulnerability reports from CVE, a custom created dataset mapping vulnerability reports to product documentations, as well as, intermediate results from the study such as decision trees rendered for each vulnerability, correlation matrix of vulnerabilities etc. 

Files

CorrelationMatrixPval.csv

Files (101.7 MB)

Name Size
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md5:5f719b88ee0bc3f757121b7289fbe9b1
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md5:c8257f946399c746693b1312bf00695b
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md5:6d08a2b42f3b98ebcdcf3b1b96ec1216
7.5 kB Preview Download
md5:d6105b26c6294b7f498aa5f66810d57a
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md5:18a991c57768fb194db75d2defba85c6
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md5:616925869c4e8c070e3b87ff21ab5d13
28.2 MB Preview Download