SMC: A Practical Schema for Privacy-Preserved Data Sharing over Distributed Data Streams

doi:10.1109/TBDATA.2015.2498156

Residential College	false
Status	已發表Published
	SMC: A Practical Schema for Privacy-Preserved Data Sharing over Distributed Data Streams
	Liu, Siyuan 1; Qu, Qiang 2; Chen, Lei 3; Ni, Lionel M.4
	2015-06-01
Source Publication	IEEE Transactions on Big Data
Volume	1 Issue:2 Pages:68-81
Abstract	Data collection is required to be safe and efficient considering both data privacy and system performance. In this paper, we study a new problem: distributed data sharing with privacy-preserving requirements. Given a data demander requesting data from multiple distributed data providers, the objective is to enable the data demander to access the distributed data without knowing the privacy of any individual provider. The problem is challenged by two questions: how to transmit the data safely and accurately; and how to efficiently handle data streams? As the first study, we propose a practical method, Shadow Coding, to preserve the privacy in data transmission and ensure the recovery in data collection, which achieves privacy preserving computation in a data-recoverable, efficient, and scalable way. We also provide practical techniques to make Shadow Coding efficient and safe in data streams. Extensive experimental study on a large-scale real-life dataset offers insight into the performance of our schema. The proposed schema is also implemented as a pilot system in a city to collect distributed mobile phone data. © 2015 IEEE.
DOI	10.1109/TBDATA.2015.2498156
Language	英語English
The Source to Article	Engineering Village
Fulltext Access	View Full-Text via DOI
Citation statistics
Document Type	Journal article
Collection	University of Macau
Affiliation	1.Smeal Business College, Pennsylvania State University, University Park; PA, United States; 2.Dainfos Lab, Innopolis University, Innopolis, Russia; 3.Department of Computer Science, Hong Kong University of Science and Technology, Hong Kong; 4.University of Macau, China
Recommended Citation GB/T 7714	Liu, Siyuan,Qu, Qiang,Chen, Lei,et al. SMC: A Practical Schema for Privacy-Preserved Data Sharing over Distributed Data Streams[J]. IEEE Transactions on Big Data, 2015, 1(2), 68-81.
APA	Liu, Siyuan., Qu, Qiang., Chen, Lei., & Ni, Lionel M. (2015). SMC: A Practical Schema for Privacy-Preserved Data Sharing over Distributed Data Streams. IEEE Transactions on Big Data, 1(2), 68-81.
MLA	Liu, Siyuan,et al."SMC: A Practical Schema for Privacy-Preserved Data Sharing over Distributed Data Streams".IEEE Transactions on Big Data 1.2(2015):68-81.

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