Finding RESTful API vulnerabilities using ChatGPT
Modern software applications heavily rely on RESTful APIs for communication and data exchange. Ensuring the reliability and security of these APIs is paramount for robust software development. This project introduces a fully automated testing framework for RESTful APIs. Leveraging advanced technolog...
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| Format: | Final Year Project |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175120 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Modern software applications heavily rely on RESTful APIs for communication and data exchange. Ensuring the reliability and security of these APIs is paramount for robust software development. This project introduces a fully automated testing framework for RESTful APIs. Leveraging advanced technologies such as ChatGPT-enabled instance and sequence generation, and reinforcement learning-driven instance creation, the framework delves into a new form of API testing. The integration of ChatGPT facilitates context-aware test scenario creation, while reinforcement learning enhances adaptability to varying API structures. The project’s main contribution lies in advancing automated testing methodologies, providing a versatile tool that elevates the quality and reliability of RESTful APIs in diverse application scenarios. |
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