Architecture for Confidential Digital Asset Transfer on Blockchain Through Obfuscation

Blockchains and related applications continue to grow as an area of technology that can provide advantages over traditional approaches in certain use cases. One such area are data markets. Data market use cases include secure asset transactions, data lineage and data governance between multiple part...

Full description

Saved in:
Bibliographic Details
Main Authors: Barnett, Alan, Keating, Matthew, Ahearne, Sean
Format: Conference Proceeding
Language:English
Subjects:
Blockchain
Blockchains
Data Market
Data privacy
Data security
Ecosystems
Information filtering
Privacy
Procurement
Protocols
Security
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Blockchains and related applications continue to grow as an area of technology that can provide advantages over traditional approaches in certain use cases. One such area are data markets. Data market use cases include secure asset transactions, data lineage and data governance between multiple parties and involves data security, immutability, transparency. Data markets require strong privacy guarantees for digital asset procurement. The inherent properties of a blockchain can provide significant benefits in the data-market use case. In fact, there are many commercial platforms currently leveraging blockchain technologies for blockchain-based data markets. Leveraging blockchain for data market use cases creates the opportunity for new logical architectures to preserve privacy in the blockchain ecosystem. This publication proposes a multi-faceted solution for stronger privacy guarantees for digital asset procurement on blockchain-based data markets. An architecture will be detailed which provides better guarantees of privacy to those acquiring digital asserts from blockchain-based data markets by leveraging time-delays, batch requests, anonymization, and virtual "one-time" users to form a layer of obfuscation around requests.
ISSN:2643-3303
DOI:10.1109/ICNP59255.2023.10355588