A Novel Vulnerability‐Detection Method Based on the Semantic Features of Source Code and the LLVM Intermediate Representation

• Published in: Journal of software : evolution and process Vol. 37; no. 5
• Main Authors: Chen, Jinfu, Zhou, Jiapeng, Lin, Wei, Towey, Dave, Cai, Saihua, Chen, Haibo, Chen, Jingyi, Yin, Yemin
• Format: Journal Article
• Language: English
• Published: Chichester Wiley Subscription Services, Inc 01.05.2025
• Subjects: Artificial neural networks; C++ (programming language); deep learning; intermediate representation; program representation; Representations; Security; Semantics; Software; Source code; Virtual environments; vulnerability detection
• ISSN: 2047-7473; 2047-7481
• DOI: 10.1002/smr.70026

ABSTRACT With the increasingly frequent attacks on software systems, software security is an issue that must be addressed. Within software security, automated detection of software vulnerabilities is an important subject. Most existing vulnerability detectors rely on the features of a single code ty...