利用混合 DLT 的可扩展数据公证
Scalable Data Notarization Leveraging Hybrid DLTs
AI总结：
针对公有链费用高、私有链信任不足的问题，本文提出基于混合区块链架构和新型数据结构的可扩展数据公证方法，并以供应链产品护照验证其在存储与成本权衡上的有效性。
摘要：
公证是一种通过在审计期间确保数据的真实性来增强数据管理的程序，从而提高被审计数据的可信度。区块链常被用作安全、不可变且透明的存储，有助于使数据公证程序更加有效和可信。文献和商业解决方案中已经提出了若干基于区块链的数据公证协议。然而，这些实现无论位于公有链还是私有链上，都面临固有挑战：公有区块链上费用高昂，私有平台上存在信任问题，这限制了区块链在数据公证中的采用，或迫使人们作出多项权衡。本文探索将混合区块链架构用于数据公证，重点关注可扩展性问题。通过分析一个真实用例，即供应链中产品护照的数据公证，我们提出了一种新颖方法，该方法利用一种数据结构，旨在高效管理对大量数据进行公证时在存储占用和成本方面涉及的权衡。
英文摘要：
Notarization is a procedure that enhance data management by ensuring the authentication of data during audits, thereby increasing trust in the audited data. Blockchain is frequently used as a secure, immutable, and transparent storage, contributing to make data notarization procedures more effective and trustable. Several blockchain-based data notarization protocols have been proposed in literature and commercial solutions. However, these implementations, whether on public or private blockchains, face inherent challenges: high fees on public blockchains and trust issues on private platforms, limiting the adoption of blockchains for data notarization or forcing several trade-offs. In this paper, we explore the use of hybrid blockchain architectures for data notarization, with a focus on scalability issues. Through the analysis of a real-world use case, the data notarization of product passports in supply chains, we propose a novel approach utilizing a data structure designed to efficiently manage the trade-offs in terms of storage occupation and costs involved in notarizing a large collection of data.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
