mVulSniffer: a multi-type source code vulnerability sniffer method

mVulSniffer: a multi-type source code vulnerability sniffer method

Given the problem that the code slice used by existing deep learning-based vulnerability sniffer methods could not comprehensively encompass the subtle characteristics between vulnerability classes, and a single deep learning sniffer model had insufficient ability to learn long context-dependent inf...

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Bibliographic Details
Main Authors: Xuejun ZHANG, Fenghe ZHANG, Jiyang GAI, Xiaogang DU, Wenjie ZHOU, Teli CAI, Bo ZHAO
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2023-09-01
Series:Tongxin xuebao
Subjects:
multi-type vulnerabilities sniffer
deep learning
attention mechanism
data dependency
control dependency
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023184/
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