EncGPT introduces a novel multi-agent framework that leverages large language models to create dynamic encryption algorithms, addressing the traditional tradeoff between security and computational cost.

• Deploys specialized agents (rule, encryption, and decryption) working in tandem to generate and apply encryption rules dynamically
• Creates homomorphic substitution encryption that allows operations on encrypted data without decryption
• Demonstrates GPT-4o's capability to generate effective encryption rules autonomously
• Offers a scalable approach to communication security that adapts to evolving threats

This research matters because it represents a paradigm shift in encryption strategy, moving from static algorithms to dynamic, AI-generated protocols that can potentially outmaneuver sophisticated attacks while maintaining reasonable computational requirements.

EncGPT: A Multi-Agent Workflow for Dynamic Encryption Algorithms