Distributed Transparent Data Layer for Next Generation Blockchains

Li Quan*

*Corresponding author af dette arbejde

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

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Abstract

Distributed Transparent Data Layer (DTDL) aims to overcome the significant storage inefficiencies in blockchain technology. The proposed scheme enhances scalability and enables broader adoption by allowing nodes to store only portions of the blockchain history, diverging from traditional methods like sharding. It consists of three main components: a transparent authentication scheme, a verifiable search tree, and a data availability sampling scheme, supporting diverse applications including zero-knowledge machine learning. This approach not only maintains transparency to the blockchain’s upper layer but also offers seamless integration with existing systems without requiring forks. Additionally, the paper introduces an innovative transparent authentication method for Luby Transform (LT) codes using KZG commitments, enabling efficient and secure verification of encoded symbols without decoding. Addressing the challenges of data outsourcing in blockchain, our proposed model ensures data integrity and robust security in a potentially malicious publisher environment, marking a significant advancement in blockchain storage and data integrity solutions.

OriginalsprogEngelsk
TitelWWW 2024 Companion - Companion Proceedings of the ACM Web Conference
Antal sider4
ForlagAssociation for Computing Machinery, Inc.
Publikationsdato2024
Sider1178-1181
ISBN (Elektronisk)9798400701726
DOI
StatusUdgivet - 2024
Begivenhed33rd ACM Web Conference, WWW 2024 - Singapore, Singapore
Varighed: 13 maj 202417 maj 2024

Konference

Konference33rd ACM Web Conference, WWW 2024
Land/OmrådeSingapore
BySingapore
Periode13/05/202417/05/2024

Bibliografisk note

Funding Information:
This project has received funding from the European Union\u2019s Horizon 2020 research and innovation pro-gramme under the Marie Sk\u0142odowska-Curie grant agreement No 801199.

Publisher Copyright:
© 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

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