A machine learning approach for vulnerability curation

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...

Full description

Saved in:
Bibliographic Details
Main Authors: CHEN, Yang, SANTOSA, Andrew E., ANG, Ming Yi, SHARMA, Abhishek, SHARMA, Asankhaya, LO, David
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2020
Subjects:
application security
open-source software
machine learning
classifiers ensemble
self-training
Artificial Intelligence and Robotics
Software Engineering
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
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English

Internet

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

Similar Items