August 11, 2025Open Access

A Framework for Secure Communication in Decentralized AI Agent Systems

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The proposed framework unifies several security components for decentralized AI systems, enhancing communication safety and adaptability.
It integrates decentralized identity verification and hybrid encryption for robust system security, along with blockchain audit features.
The framework features AI-inspired dynamic threat detection to proactively counter security threats in real-time.
Although empirical testing was not conducted, it lays crucial groundwork for future implementations and formal verification.

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Proposed layered security framework enhances decentralized AI communication, suggesting improved adaptability and trustworthiness.

Hossen et al. (2025) studied this question.

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