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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/9748

Title: Privacy Preserving Frequency Mining in 2-Part Fully Distributed Setting
Authors: LUONG, The Dung
HO, Tu Bao
Keywords: privacy preserving frequency mining
2-part fully distributed setting
Issue Date: 2010-10-01
Publisher: 電子情報通信学会
Magazine name: IEICE TRANSACTIONS on Information and Systems
Volume: E93-D
Number: 10
Start page: 2702
End page: 2708
DOI: 10.1587/transinf.E93.D.2702
Abstract: Recently, privacy preservation has become one of the key issues in data mining. In many data mining applications, computing frequencies of values or tuples of values in a data set is a fundamental operation repeatedly used. Within the context of privacy preserving data mining, several privacy preserving frequency mining solutions have been proposed. These solutions are crucial steps in many privacy preserving data mining tasks. Each solution was provided for a particular distributed data scenario. In this paper, we consider privacy preserving frequency mining in a so-called 2-part fully distributed setting. In this scenario, the dataset is distributed across a large number of users in which each record is owned by two different users, one user only knows the values for a subset of attributes, while the other knows the values for the remaining attributes. A miner aims to compute the frequencies of values or tuples of values while preserving each user's privacy. Some solutions based on randomization techniques can address this problem, but suffer from the tradeoff between privacy and accuracy. We develop a cryptographic protocol for privacy preserving frequency mining, which ensures each user's privacy without loss of accuracy. The experimental results show that our protocol is efficient as well.
Rights: Copyright (C)2010 IEICE. The Dung LUONG, Tu Bao HO, IEICE TRANSACTIONS on Information and Systems, E93-D(10), 2010, 2702-2708. http://www.ieice.org/jpn/trans_online/
URI: http://hdl.handle.net/10119/9748
Material Type: publisher
Appears in Collections:a10-1. 雑誌掲載論文 (Journal Articles)

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