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Paper Abstract and Keywords
Presentation 2013-03-07 15:10
A Study of Privacy-Preserving Participatory Sensing with Empirical Data Distributions
Shunsuke Aoki, Masayuki Iwai, Kaoru Sezaki (Univ. of Tokyo) LOIS2012-83
Abstract (in Japanese) (See Japanese page) 
(in English) Participatory sensing is emerging paradigm for collecting spatial statistical information by gathering data from citizens as the rapid spread of smartphones with embedded various sensors. To promote use of participatory sensing, the protection of privacy is important to consider because the system aggregates data sets from each smartphone which is closely related with participants.
There are many research for protecting privacy in participatory sensing, but when the data distribution is generally known, attacker can easily infer original data which is participants' sensitive information.
In this paper, we present a privacy-preserving participatory sensing for known distributions by Empirical Negative Surveys.
We evaluated how this scheme can preserve the privacy while keeping the integrity of aggregated information.
Keyword (in Japanese) (See Japanese page) 
(in English) Participatory Sensing / Urban Sensing / Privacy / Negative Surveys / Data Mining / Ubiquitous Networking / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 466, LOIS2012-83, pp. 83-88, March 2013.
Paper # LOIS2012-83 
Date of Issue 2013-02-28 (LOIS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee LOIS  
Conference Date 2013-03-07 - 2013-03-08 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To LOIS 
Conference Code 2013-03-LOIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of Privacy-Preserving Participatory Sensing with Empirical Data Distributions 
Sub Title (in English)  
Keyword(1) Participatory Sensing  
Keyword(2) Urban Sensing  
Keyword(3) Privacy  
Keyword(4) Negative Surveys  
Keyword(5) Data Mining  
Keyword(6) Ubiquitous Networking  
Keyword(7)  
Keyword(8)  
1st Author's Name Shunsuke Aoki  
1st Author's Affiliation the University of Tokyo (Univ. of Tokyo)
2nd Author's Name Masayuki Iwai  
2nd Author's Affiliation the University of Tokyo (Univ. of Tokyo)
3rd Author's Name Kaoru Sezaki  
3rd Author's Affiliation the University of Tokyo (Univ. of Tokyo)
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Speaker Author-1 
Date Time 2013-03-07 15:10:00 
Presentation Time 20 minutes 
Registration for LOIS 
Paper # LOIS2012-83 
Volume (vol) vol.112 
Number (no) no.466 
Page pp.83-88 
#Pages 6 
Date of Issue 2013-02-28 (LOIS) 

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