A Framework for Secure Communication in Decentralized AI Agent Systems

This paper proposes a novel, layered security framework for decentralized AI agent communication. The framework integrates decentralized identity verification using Decentralized Identifiers (DIDs), hybrid encryption with optional post-quantum resilience, AI-inspired dynamic threat detection, and optional blockchain-based audit logging. Unlike prior solutions that address these components in isolation, this architecture unifies them into a cohesive, modular design that can be tailored to domain-specific requirements. A formal protocol specification is provided to support future formal verification and implementation. Although no empirical testing was conducted in this study, the framework offers a conceptual foundation for building trustworthy, adaptable communication systems for decentralized AI agents.