A machine learning approach for vulnerability curation
Software composition analysis depends on database of open-source library vulerabilities, curated by security researchers using various sources, such as bug tracking systems, commits, and mailing lists. We report the design and implementation of a machine learning system to help the curation by by au...
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Main Authors: | CHEN, Yang, SANTOSA, Andrew E., ANG, Ming Yi, SHARMA, Abhishek, SHARMA, Asankhaya, LO, David |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2020
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Online Access: | https://ink.library.smu.edu.sg/sis_research/5627 https://ink.library.smu.edu.sg/context/sis_research/article/6630/viewcontent/A_Machine_Learning_Approach_for_Vulnerability_Curation.pdf |
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Institution: | Singapore Management University |
Language: | English |
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