VD-HEN: Capturing Semantic Dependencies for Source Code Vulnerability Detection With a Hierarchical Embedding Network

Jingwei Hao; Senlin Luo; Limin Pan; Chuantao Chen

doi:10.1109/MC.2022.3228924

VD-HEN: Capturing Semantic Dependencies for Source Code Vulnerability Detection With a Hierarchical Embedding Network

Jingwei Hao^*, Senlin Luo, Limin Pan, Chuantao Chen

^*Corresponding author for this work

School of Information and Electronics

Beijing Institute of Technology

Research output: Contribution to specialist publication › Article

Abstract

This article proposes a semantic dependency capture method for source code vulnerability detection of an open source framework based on a hierarchical embedded network. It extracts syntactic information and structural information through a statement embedding network and program embedding network, respectively. Experimental results show that the proposed method is superior to other methods.

Original language	English
Pages	49-61
Number of pages	13
Volume	56
No.	10
Specialist publication	Computer
DOIs	https://doi.org/10.1109/MC.2022.3228924
Publication status	Published - 1 Oct 2023

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title = "VD-HEN: Capturing Semantic Dependencies for Source Code Vulnerability Detection With a Hierarchical Embedding Network",

abstract = "This article proposes a semantic dependency capture method for source code vulnerability detection of an open source framework based on a hierarchical embedded network. It extracts syntactic information and structural information through a statement embedding network and program embedding network, respectively. Experimental results show that the proposed method is superior to other methods.",

author = "Jingwei Hao and Senlin Luo and Limin Pan and Chuantao Chen",

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year = "2023",

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VD-HEN: Capturing Semantic Dependencies for Source Code Vulnerability Detection With a Hierarchical Embedding Network

Abstract

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