journal article·2025-07-02Open access

A Cross-Chain Solution to Connect Multiple DNS Blockchains in Consensus Roots System

Linkai Zhu, Shanwen Hu, Zeyu Zhang, Changpu Meng

Applied Sciences· Volume 15· Issue 13

Abstract

The Domain Name System (DNS) is a key part of the Internet, and it is used for global domain name resolution. However, it has security risks due to its centralized or semi-centralized design and reliance on a few root servers. To improve DNS security and long-term stability, this study proposes the consensus roots system, a blockchain-based distributed domain architecture. The system uses a 1 + N master-subchain structure to solve the problem of trust and data synchronization across blockchains. The master chain acts as a relay and uses Hyperledger Fabric, a consortium blockchain platform, to support semi-centralized cross-chain communication. Subchains are local blockchains that need to connect with the master chain. To ensure safe and reliable transactions, the system uses a staged-proposal atomic swap method on the master chain. Compared to prior approaches, this work introduces a cross-chain architecture that enables more efficient trust synchronization, reducing latency and improving scalability without compromising security.
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Research context

OpenAlex topics: Blockchain Technology Applications and Security · Caching and Content Delivery · IoT and Edge/Fog Computing

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Management Science and Information Engineering, Hebei University of Economics and Business, Shijiazhuang 050061, China

Faculty of Data Science, City University of Macau, Macau 999078, China

School of Computing and Information Technology, University of Wollongong, Wollongong 2522, Australia

Funding

Science Research Project of the Hebei Education Department · Natural Science Foundation of Hebei Province · 2025 Hebei Province Foreign Intelligence Introduction Project: Realistic 3D Space Reconstruction System Based on Radar-Vision Integration

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