An LLM Framework For Cryptography Over Chat Channels
This addresses the need for secure and covert messaging for users in regions with strict surveillance or encryption bans, though it appears incremental as it builds on existing LLM and cryptographic concepts.
The paper tackles the problem of secure communication in surveillance-heavy environments by proposing a novel cryptographic embedding framework that enables covert encrypted communication over public chat channels using humanlike texts, offering an alternative where traditional encryption is restricted.
Recent advancements in Large Language Models (LLMs) have transformed communication, yet their role in secure messaging remains underexplored, especially in surveillance-heavy environments. At the same time, many governments all over the world are proposing legislation to detect, backdoor, or even ban encrypted communication. That emphasizes the need for alternative ways to communicate securely and covertly over open channels. We propose a novel cryptographic embedding framework that enables covert Public Key or Symmetric Key encrypted communication over public chat channels with humanlike produced texts. Some unique properties of our framework are: 1. It is LLM agnostic, i.e., it allows participants to use different local LLM models independently; 2. It is pre- or post-quantum agnostic; 3. It ensures indistinguishability from human-like chat-produced texts. Thus, it offers a viable alternative where traditional encryption is detectable and restricted.