Protecting Data Buyer Privacy in Data Markets

Fuente: arXiv
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Autores principales: Zhang, Minxing, Pei, Jian
Formato: Preprint
Publicado: 2024
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author Zhang, Minxing
Pei, Jian
author_facet Zhang, Minxing
Pei, Jian
contents Data markets serve as crucial platforms facilitating data discovery, exchange, sharing, and integration among data users and providers. However, the paramount concern of privacy has predominantly centered on protecting privacy of data owners and third parties, neglecting the challenges associated with protecting the privacy of data buyers. In this article, we address this gap by modeling the intricacies of data buyer privacy protection and investigating the delicate balance between privacy and purchase cost. Through comprehensive experimentation, our results yield valuable insights, shedding light on the efficacy and efficiency of our proposed approaches.
format Preprint
id arxiv_https___arxiv_org_abs_2407_09771
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Protecting Data Buyer Privacy in Data Markets
Zhang, Minxing
Pei, Jian
Cryptography and Security
Databases
Data markets serve as crucial platforms facilitating data discovery, exchange, sharing, and integration among data users and providers. However, the paramount concern of privacy has predominantly centered on protecting privacy of data owners and third parties, neglecting the challenges associated with protecting the privacy of data buyers. In this article, we address this gap by modeling the intricacies of data buyer privacy protection and investigating the delicate balance between privacy and purchase cost. Through comprehensive experimentation, our results yield valuable insights, shedding light on the efficacy and efficiency of our proposed approaches.
title Protecting Data Buyer Privacy in Data Markets
topic Cryptography and Security
Databases
url https://arxiv.org/abs/2407.09771