Automated Software Vulnerability Detection Based on Hybrid Neural Network

Automated Software Vulnerability Detection Based on Hybrid Neural Network

Vulnerabilities threaten the security of information systems. It is crucial to detect and patch vulnerabilities before attacks happen. However, existing vulnerability detection methods suffer from long-term dependency, out of vocabulary, bias towards global features or local features, and coarse det...

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Bibliographic Details
Main Authors: Xin Li, Lu Wang, Yang Xin, Yixian Yang, Qifeng Tang, Yuling Chen
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Applied Sciences
Subjects:
cyber security
vulnerability detection
program slice
static analysis
Online Access:https://www.mdpi.com/2076-3417/11/7/3201

Internet

https://www.mdpi.com/2076-3417/11/7/3201

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