xRWA: A Cross-Chain Framework for Interoperability of Real-World Assets

• URL: http://arxiv.org/abs/2509.12957v2
• Date: Wed, 17 Sep 2025 04:55:06 GMT
• Title: xRWA: A Cross-Chain Framework for Interoperability of Real-World Assets
• Authors: Yihao Guo, Haoming Zhu, Minghui Xu, Xiuzhen Cheng, Bin Xiao,
• Abstract summary: Real-World Assets (RWAs) have attracted increasing attention as a means of bridging traditional financial instruments with decentralized infrastructures.<n>We present a cross-chain framework for RWAs that emphasizes identity management, authentication, and interaction.<n>We design a cross-chain channel that enables the settlement of RWAs without requiring channel closure, thereby improving operational efficiency.
• Score: 22.17656539671745
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Real-World Assets (RWAs) have recently attracted increasing attention as a means of bridging traditional financial instruments with decentralized infrastructures. By representing assets such as bonds, commodities, and real estate on blockchains, RWAs can enhance liquidity, broaden accessibility, and extend the scope of decentralized finance. Industry forecasts further suggest rapid growth of tokenized RWAs in the coming years, underscoring their potential role in the evolution of digital financial markets. However, when deployed across multiple blockchains, RWAs face challenges such as repeated authentication on different chains and inefficiency caused by multi-step settlement protocols. To address these issues, we present a cross-chain framework for RWAs that emphasizes identity management, authentication, and interaction. The framework integrates Decentralized Identifiers and Verifiable Credentials with customized attributes to support decentralized identification, and incorporates an authentication protocol based on Simplified Payment Verification to avoid redundant verification across chains. Furthermore, we design a cross-chain channel that enables the settlement of RWAs without requiring channel closure, thereby improving operational efficiency. We implement the framework and evaluate it through simulations, which confirm its feasibility and demonstrate improvements in efficiency for RWAs in cross-chain settings.

Related papers

• A Blockchain-Based Trust Framework for Resilient Cross-Domain UAV Service Orchestration [37.876920884221484]
  This paper proposes a consortium blockchain-based trust architecture for cross-domain decentralized identity verification, auditable task execution, and dynamic service-aware orchestrator selection.<n>The proposed framework achieves substantial reductions in authentication latency and significant improvements in system throughput against centralized and static schemes.
  arXiv  Detail & Related papers  (2026-02-28T04:26:54Z)
• Toward a Sustainable Federated Learning Ecosystem: A Practical Least Core Mechanism for Payoff Allocation [71.86087908416255]
  We introduce a payoff allocation framework based on the least core (LC) concept.<n>Unlike traditional methods, the LC prioritizes the cohesion of the federation by minimizing the maximum dissatisfaction.<n>Case studies in federated intrusion detection demonstrate that our mechanism correctly identifies pivotal contributors and strategic alliances.
  arXiv  Detail & Related papers  (2026-02-03T11:10:50Z)
• Markov Chain-based Model of Blockchain Radio Access Networks [65.59619477031194]
  One wireless access approach that has captured attention is blockchain enabled RAN (B-RAN)<n>This research introduces a framework that integrates blockchain technology into RAN while also addressing the limitations of state-of-the-art models.<n>Results demonstrate reduced latency and comparable security making the presented framework suitable for diverse application scenarios.
  arXiv  Detail & Related papers  (2025-08-20T08:28:30Z)
• AlDBaran: Towards Blazingly Fast State Commitments for Blockchains [52.39305978984572]
  AlDBaran is an authenticated data structure capable of handling state updates efficiently at a network throughput of 50 Gbps.<n>AlDBaran provides support for historical state proofs, which facilitates a wide array of novel applications.<n>On consumer-level portable hardware, it achieves approximately 8 million updates/s in an in-memory setting and 5 million updates/s with snapshots at sub-second intervals.
  arXiv  Detail & Related papers  (2025-08-14T09:52:15Z)
• Transaction Profiling and Address Role Inference in Tokenized U.S. Treasuries [5.00898007095729]
  Tokenized U.S. Treasuries have emerged as a prominent subclass of real-world assets (RWAs)<n>This paper conducts a quantitative, function-level dissection of U.S. Treasury-backed RWA tokens across multi-chain networks.
  arXiv  Detail & Related papers  (2025-07-20T03:54:06Z)
• Endorsement-Driven Blockchain SSI Framework for Dynamic IoT Ecosystems [0.39462888523270856]
  Self-Sovereign Identity (SSI) offers significant potential for managing identities in the Internet of Things (IoT)<n>Existing SSI frameworks limit issuance credential and revocation to trusted entities, such as IoT manufacturers.<n>We propose a blockchain-based SSI framework that allows any individual with a verifiable trust linkage to act as a credential issuer.
  arXiv  Detail & Related papers  (2025-07-14T02:03:14Z)
• Efficient Blockchain-based Steganography via Backcalculating Generative Adversarial Network [105.47203971578871]
  We propose a generic blockchain-based steganography framework (GBSF)<n>The sender generates the required fields such as amount and fees, where the additional covert data is embedded to enhance the channel capacity.<n>Based on GBSF, we design a reversible generative adversarial network (R-GAN)<n>We propose R-GAN with Counter-intuitive data preprocessing and Custom activation functions, namely CCR-GAN.
  arXiv  Detail & Related papers  (2025-06-19T04:43:41Z)
• Track and Trace: Automatically Uncovering Cross-chain Transactions in the Multi-blockchain Ecosystems [21.470299762211546]
  Cross-chain technology enables seamless asset transfer and message-passing within decentralized finance (DeFi) ecosystems.<n>This paper proposes ABCTRACER, an automated, bi-directional cross-chain transaction tracing tool, specifically designed for DeFi ecosystems.
  arXiv  Detail & Related papers  (2025-04-02T15:28:25Z)
• SPOQchain: Platform for Secure, Scalable, and Privacy-Preserving Supply Chain Tracing and Counterfeit Protection [46.68279506084277]
  This work proposes SPOQchain, a novel blockchain-based platform that provides comprehensive traceability and originality verification. It provides an analysis of privacy and security aspects, demonstrating the need and qualification of SPOQchain for the future of supply chain tracing.
  arXiv  Detail & Related papers  (2024-08-30T07:15:43Z)
• Enhancing Supply Chain Visibility with Knowledge Graphs and Large Language Models [49.898152180805454]
  This paper presents a novel framework leveraging Knowledge Graphs (KGs) and Large Language Models (LLMs) to enhance supply chain visibility. Our zero-shot, LLM-driven approach automates the extraction of supply chain information from diverse public sources. With high accuracy in NER and RE tasks, it provides an effective tool for understanding complex, multi-tiered supply networks.
  arXiv  Detail & Related papers  (2024-08-05T17:11:29Z)
• It Takes Two: A Peer-Prediction Solution for Blockchain Verifier's Dilemma [12.663727952216476]
  We develop a Byzantine-robust peer prediction framework towards the design of one-phase Bayesian truthful mechanisms for the decentralized verification games.<n>Our study provides a framework of incentive design for decentralized verification protocols that enhances the security and robustness of the blockchain, decentralized AI, and potentially other decentralized systems.
  arXiv  Detail & Related papers  (2024-06-03T21:21:17Z)
• Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning [51.13534069758711]
  Decentralized approaches like blockchain offer a compelling solution by implementing a consensus mechanism among multiple entities. Federated Learning (FL) enables participants to collaboratively train models while safeguarding data privacy. This paper investigates the synergy between blockchain's security features and FL's privacy-preserving model training capabilities.
  arXiv  Detail & Related papers  (2024-03-28T07:08:26Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.