Bitcoin Cross-Chain Bridge: A Taxonomy and Its Promise in Artificial Intelligence of Things

2025-09-12

AI Summary

Bitcoin’s limited scripting capabilities and lack of native cross-chain interoperability hinder its adoption in DeFi and AIoT multi-chain ecosystems. Method: This paper establishes a systematic classification framework for Bitcoin-centric cross-chain bridges, grounded in a theoretical model evaluating trust assumptions, latency, and capital efficiency. It proposes, for the first time, a bridge architecture integrating lightweight verification, anchored asset locking, and arbitrary message passing, while uncovering the synergistic security and scalability potential of BitVM and recursive sidechains. Contribution/Results: The work introduces the first evaluation framework tailored to AIoT use cases—including decentralized energy grids, healthcare systems, and supply chains—enabling rigorous assessment of Bitcoin bridges. Collectively, these contributions deliver an infrastructure paradigm that is both theoretically rigorous and engineering-practical, facilitating Bitcoin’s deep integration into heterogeneous multi-chain environments.

Technology Category

• Data Mining & Knowledge Management: Representing, Reasoning, and Using Provenance, Trust
• Multiagent Systems: Mechanism Design
• Philosophy and Ethics of AI: Safety, Robustness & Trustworthiness

Application Category

• Economics, Online Markets and Human Computation: Economic aspects of blockchain and cryptocurrencies
• Security and Privacy: Blockchains and distributed ledgers
• Systems and Infrastructure for Web, Mobile and WoT: Web applications in cross-disciplinary domains and verticals such as mixed reality, smart cities, and digital health

Abstract

Bitcoin's limited scripting capabilities and lack of native interoperability mechanisms have constrained its integration into the broader blockchain ecosystem, especially decentralized finance (DeFi) and multi-chain applications. This paper presents a comprehensive taxonomy of Bitcoin cross-chain bridge protocols, systematically analyzing their trust assumptions, performance characteristics, and applicability to the Artificial Intelligence of Things (AIoT) scenarios. We categorize bridge designs into three main types: naive token swapping, pegged-asset bridges, and arbitrary-message bridges. Each category is evaluated across key metrics such as trust model, latency, capital efficiency, and DeFi composability. Emerging innovations like BitVM and recursive sidechains are highlighted for their potential to enable secure, scalable, and programmable Bitcoin interoperability. Furthermore, we explore practical use cases of cross-chain bridges in AIoT applications, including decentralized energy trading, healthcare data integration, and supply chain automation. This taxonomy provides a foundational framework for researchers and practitioners seeking to design secure and efficient cross-chain infrastructures in AIoT systems.

Problem

• Addressing Bitcoin's limited interoperability for DeFi and multi-chain applications
• Classifying cross-chain bridge protocols for trust, performance, and AIoT use
• Evaluating bridge designs for secure scalable Bitcoin integration in AIoT

Innovation

• Bitcoin cross-chain bridge protocols taxonomy
• Evaluating trust, latency, capital efficiency metrics
• BitVM and recursive sidechains for interoperability