Generative AI for Software Security Analysis: Fundamentals, Applications, and Challenges

This article delves into the potential opportunities and challenges that generative AI introduces to software security analysis based on its fundamentals and applications. In addition, a simple case is used to demonstrate the validity of our outlook.

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Publication Details

Journal
IEEE Software
Published
2024-08-13
DOI
https://doi.org/10.1109/ms.2024.3416036
Citations
16
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
5.25

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article

Generative AI for Software Security Analysis: Fundamentals, Applications, and Challenges

Gaolei Li, Jianhua Li, Chaofeng Zhang, Xi Lin et al.
16 citations
IEEE Software
Advanced Malware Detection Techniques
5.25
article

Generative AI for Software Security Analysis: Fundamentals, Applications, and Challenges

Gaolei Li, Jianhua Li, Chaofeng Zhang, Xi Lin, Xiaoyu Yi, Ao Ding
article en
16 citations

Abstract

This article delves into the potential opportunities and challenges that generative AI introduces to software security analysis based on its fundamentals and applications. In addition, a simple case is used to demonstrate the validity of our outlook.

IEEE SoftwareVol. 41(6)
Shanghai Jiao Tong University (CN), Advanced Institute of Industrial Technology (JP)
National Natural Science Foundation of China, Japan Society for the Promotion of Science
Openalex Percentile: Top 4%
Advanced Malware Detection Techniques
5.25
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