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arXiv · 2503.23138

EncGPT: A Multi-Agent Workflow for Dynamic Encryption Algorithms

Donghe Li·Zuchen Li·Ye Yang·Li Sun·Dou An·Qingyu Yang
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Abstract

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.

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Donghe Li, Zuchen Li, Ye Yang, Li Sun, Dou An, Qingyu Yang. 2025-03-29. EncGPT: A Multi-Agent Workflow for Dynamic Encryption Algorithms. https://arxiv.org/abs/2503.23138

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