Deep learning vulnerability detection method based on optimized inter-procedural semantics of programs
In recent years, software vulnerabilities have been causing a multitude of security incidents, and the early discovery and patching of vulnerabilities can effectively reduce losses.Traditional rule-based vulnerability detection methods, relying upon rules defined by experts, suffer from a high false...
Saved in:
| Main Authors: | Yan LI, Weizhong QIANG, Zhen LI, Deqing ZOU, Hai JIN |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
POSTS&TELECOM PRESS Co., LTD
2023-12-01
|
| Series: | 网络与信息安全学报 |
| Subjects: | |
| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2023085 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Intelligent vulnerability detection system based on graph structured source code slice
by: Deqing ZOU, et al.
Published: (2021-10-01) -
MultiGLICE: Combining Graph Neural Networks and Program Slicing for Multiclass Software Vulnerability Detection
by: Wesley de Kraker, et al.
Published: (2025-03-01) -
Go Source Code Vulnerability Detection Method Based on Graph Neural Network
by: Lisha Yuan, et al.
Published: (2025-06-01) -
Cross-Architecture Vulnerability Detection Combining Semantic and Attribute Feature
by: LI Kun, LI Bin, ZHU Wenjing, ZHOU Qinglei
Published: (2025-03-01) -
Tree Slicing in Clone Detection: Syntactic Analysis Made (Semi)-Semantic
by: Marat Akhin, et al.
Published: (2015-03-01)