Protection of Communication Between Chains by Intelligent Translation Protocols: Applying the AI for Blockchain Interoperability

Abstract

The blockchain technology is now widely accepted as an innovation in various areas such as finance, healthcare, logistics, and supply chain domain. Nevertheless, the interconnection of diverse blockchains is still an existing problem, which contributes to the impedance of seamless data and asset exchange between multiple blockchains. This paper proposes a new paradigm of the Protection of Communication Between Chains by Intelligent Translation Protocols system using Artificial Intelligence to achieve secure, efficient and scalable cross-chain interaction. Utilizing smart translation algorithms based on machine learning the system adapts to the underlying consensus rules, data structures and messaging patterns on multiple blockchains without any security or data integrity implications. This approach focuses on adaptive learning for multiple evolving chain standards, real-time verification to stop forged translations, and smart routing to maximize cross-chain transaction paths. Experimental results confirm that the AI-based interoperability tier achieves lower latency, higher translation accuracy, and less computation costs than the bridge-based access layer. They also include secure communication and cryptographic protection for the data in transit inter chaining. The findings of this research further the technological frontier of blockchain interoperability, while also presenting a foundational solution for developing the next-generation of decentralized applications (dApps) that can run across multiple blockchains. We conclude that intelligence protocol translation is a promising approach to secure, scalable and robust integration of blockchains with the Web3.