Research on the Penetration Testing Model in the Vertical Field Using Generative AI Technology
Traditional penetration testing relies deeply on high technical requirements for testers, thus limiting the breadth of popularization. Automated pen-testing with artificial intelligence reduces the barrier. This article introduces the application of generative artificial intelligence in the field of pen-testing, introduces machine learning modeling techniques for vulnerability intelligence, constructs a large language model for experimental analysis, and looks forward to future research.
Authors
- Cong Hou (ORCID: https://orcid.org/0009-0004-1778-0186)
- Yue Sun (ORCID: https://orcid.org/0009-0009-0481-5593)
- Yuyue Su
Institutions
- State Grid Corporation of China (China) (CN)
Publication Details
- Published
- 2024-11-29
- DOI
- https://doi.org/10.1109/ei264398.2024.10990542
- Primary Topic
- Advanced Decision-Making Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00