Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/116813
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Title: Authenticating multi-chain queries : verifiable virtual filesystem is all you need
Authors: Wang, H
Xu, C
Zhang, C
Hu, H 
Tian, S
Chen, S
Yan, Y
Xu, J
Issue Date: 2025
Source: In SIGMOD-Companion ’25: Companion of the 2025 International Conference on Management of Data, p. 251-254. New York, NY: The Association for Computing Machinery, 2025
Abstract: This demonstration showcases a verifiable multi-chain querying system. The proliferation of blockchain-driven applications has created a demand for on-chain data analysis across multiple blockchains. However, existing solutions face challenges in seamlessly integrating with existing blockchains, maintaining compatible with various database engines, and ensuring the integrity of query results. In response, we develop a blockchain indexing system that utilizes a novel verifiable virtual filesystem (V2 FS) for query authentication. Our demonstration focuses on highlighting the key features of our system, including blockchain data indexing, verifiable multi-chain query processing, and the usability and performance of our solution. Additionally, we provide an interactive visualization module to enhance attendees' understanding and insights.
Keywords: Blockchain
Data integrity
Query processing
Publisher: The Association for Computing Machinery
Journal: Investigative ophthalmology and visual science 
ISBN: 979-8-4007-1564-8
DOI: 10.1145/3722212.3725082
Description: SIGMOD/PODS '25: International Conference on Management of Data, Berlin, Germany, June 22-27, 2025
Rights: This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0).
©2025 Copyright held by the owner/author(s).
The following publication Wang, H., Xu, C., Zhang, C., Hu, H., Tian, S., Chen, S., Yan, Y., & Xu, J. (2025). Authenticating Multi-Chain Queries: Verifiable Virtual Filesystem Is All You Need Companion of the 2025 International Conference on Management of Data, Berlin, Germany is available at https://doi.org/10.1145/3722212.3725082.
Appears in Collections:Conference Paper

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