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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.23138 |
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| _version_ | 1866913766135824384 |
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| author | Li, Donghe Li, Zuchen Yang, Ye Sun, Li An, Dou Yang, Qingyu |
| author_facet | Li, Donghe Li, Zuchen Yang, Ye Sun, Li An, Dou Yang, Qingyu |
| contents | Communication encryption is crucial in computer technology, but existing algorithms struggle with balancing cost and security. We propose EncGPT, a multi-agent framework using large language models (LLM). It includes rule, encryption, and decryption agents that generate encryption rules and apply them dynamically. This approach addresses gaps in LLM-based multi-agent systems for communication security. We tested GPT-4o's rule generation and implemented a substitution encryption workflow with homomorphism preservation, achieving an average execution time of 15.99 seconds. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_23138 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | EncGPT: A Multi-Agent Workflow for Dynamic Encryption Algorithms Li, Donghe Li, Zuchen Yang, Ye Sun, Li An, Dou Yang, Qingyu Cryptography and Security Multiagent Systems Communication encryption is crucial in computer technology, but existing algorithms struggle with balancing cost and security. We propose EncGPT, a multi-agent framework using large language models (LLM). It includes rule, encryption, and decryption agents that generate encryption rules and apply them dynamically. This approach addresses gaps in LLM-based multi-agent systems for communication security. We tested GPT-4o's rule generation and implemented a substitution encryption workflow with homomorphism preservation, achieving an average execution time of 15.99 seconds. |
| title | EncGPT: A Multi-Agent Workflow for Dynamic Encryption Algorithms |
| topic | Cryptography and Security Multiagent Systems |
| url | https://arxiv.org/abs/2503.23138 |