Automated Vulnerability Detection in Source Code Using Minimum Intermediate Representation Learning

Automated Vulnerability Detection in Source Code Using Minimum Intermediate Representation Learning

Vulnerability is one of the root causes of network intrusion. An effective way to mitigate security threats is to discover and patch vulnerabilities before an attack. Traditional vulnerability detection methods rely on manual participation and incur a high false positive rate. The intelligent vulner...

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Bibliographic Details
Main Authors: Xin Li, Lu Wang, Yang Xin, Yixian Yang, Yuling Chen
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Applied Sciences
Subjects:
cyber security
vulnerability detection
program slice
transfer learning
representation learning
Online Access:https://www.mdpi.com/2076-3417/10/5/1692

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https://www.mdpi.com/2076-3417/10/5/1692

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