@inproceedings{d3aa0da54f0845ca8ab546691a08b170,
title = "PraDa: Privacy-preserving data-deduplication-as-a-service",
abstract = "The data-cleaning-as-a-service (DCaS) paradigm enables users to outsource their data and data cleaning needs to computationally powerful third-party service providers. It raises several security issues. One of the issues is how the client can protect the private information in the outsourced data. In this paper, we focus on data deduplication as the main data cleaning task, and design two efficient privacy-preserving data-deduplication methods for the DCaS paradigm. We analyze the robustness of our two methods against the attacks that exploit the auxiliary frequency distribution and the knowledge of the encoding algorithms. Our empirical study demonstrates the efficiency and effectiveness of our privacy preserving approaches.",
keywords = "Data deduplication, Data-cleaning-as-a-service, Outsourcing, Privacy-preserving, Security",
author = "Boxiang Dong and Ruilin Liu and Wang, {Wendy Hui}",
note = "Publisher Copyright: Copyright 2014 ACM.; 23rd ACM International Conference on Information and Knowledge Management, CIKM 2014 ; Conference date: 03-11-2014 Through 07-11-2014",
year = "2014",
month = nov,
day = "3",
doi = "10.1145/2661829.2661863",
language = "English",
series = "CIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management",
publisher = "Association for Computing Machinery",
pages = "1559--1568",
booktitle = "CIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management",
}