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...
Main Author: | 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: | https://www.infocomm-journal.com/cjnis/CN/10.11959/j.issn.2096-109x.2023085 |
Similar Items
-
Automated Software Vulnerability Detection Based on Hybrid Neural Network
by: Xin Li, et al.
Published: (2021-04-01) -
Context and Multi-Features-Based Vulnerability Detection: A Vulnerability Detection Frame Based on Context Slicing and Multi-Features
by: Yulin Zhang, et al.
Published: (2024-02-01) -
Smart Contract Vulnerability Detection Based on Hybrid Attention Mechanism Model
by: Huaiguang Wu, et al.
Published: (2023-01-01) -
<span style="font-variant: small-caps">AdVulCode</span>: Generating Adversarial Vulnerable Code against Deep Learning-Based Vulnerability Detectors
by: Xueqi Yu, et al.
Published: (2023-02-01) -
IRC-CLVul: Cross-Programming-Language Vulnerability Detection with Intermediate Representations and Combined Features
by: Tianwei Lei, et al.
Published: (2023-07-01)