Paper 2025/724
Privacy and Security in Distributed Data Markets
, University of Illinois Urbana-Champaign, Cornell University, Pennsylvania State University, Pennsylvania State University, Columbia UniversityAbstract
Data markets play a pivotal role in modern industries by facilitating the exchange of data for predictive modeling, targeted marketing, and research. However, as data becomes a valuable commodity, privacy and security concerns have grown, particularly regarding the personal information of individuals. This tutorial explores privacy and security issues when integrating different data sources in data market platforms. As motivation for the importance of enforcing privacy requirements, we discuss attacks on data markets focusing on membership inference and reconstruction attacks. We also discuss security vulnerabilities in decentralized data marketplaces, including adversarial manipulations by buyers or sellers. We provide an overview of privacy and security mechanisms designed to mitigate these risks. In order to enforce the least amount of trust for buyers and sellers, we focus on distributed protocols. Finally, we conclude with opportunities for future research on understanding and mitigating privacy and security concerns in distributed data markets.
Metadata
- Available format(s)
-
PDF
- Category
- Applications
- Publication info
- Published elsewhere. Minor revision. SIGMOD 2025
- Keywords
- PrivacyData MarketsDistributed Protocols
- Contact author(s)
-
alabid @ illinois edu
sg @ cs cornell edu
smehnaz @ psu edu
zysong @ psu edu
ew2493 @ columbia edu - History
- 2025-04-23: approved
- 2025-04-22: received
- See all versions
- Short URL
- https://ia.cr/2025/724
- License
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CC BY
BibTeX
@misc{cryptoeprint:2025/724,
author = {Daniel Alabi and Sainyam Galhotra and Shagufta Mehnaz and Zeyu Song and Eugene Wu},
title = {Privacy and Security in Distributed Data Markets},
howpublished = {Cryptology {ePrint} Archive, Paper 2025/724},
year = {2025},
url = {https://eprint.iacr.org/2025/724}
}
