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Paper Abstract and Keywords
Presentation 2017-03-02 14:55
Evaluating Estimation Methods of Reconstruction Accuracy of Negative Surveys Using Field Survey Data of Air Pollution
Takao Suzuki, Masaki Ito, Kaoru Sezaki (The Univ. of Tokyo) LOIS2016-77
Abstract (in Japanese) (See Japanese page) 
(in English) In mobile environmental sensing, where mobile users sense environmental variables and send data to a server via mobile devices, there is a risk of privacy leakage from sensor readings. Data perturbation, a privacy preserving method, disguises sensor readings on the user side while allowing a server to reconstruct statistical information, such as data distribution, of original data. Data perturbation has a serious problem in that a server cannot calculate the reconstruction accuracy. We previously proposed a method to estimate the reconstruction accuracy using a spatiotemporal model of environmental variables. In this study, we collect air pollution data with our mobile air pollution sensing device. Using the field survey data, we evaluate our methods to estimate the reconstruction accuracy of Negative Surveys, a data perturbation technique.
Keyword (in Japanese) (See Japanese page) 
(in English) Mobile Environmental Sensing / Privacy / Data Perturbation / Negative Surveys / Reconstruction Accuracy / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 488, LOIS2016-77, pp. 85-90, March 2017.
Paper # LOIS2016-77 
Date of Issue 2017-02-23 (LOIS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 2017-03-02 - 2017-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) N.Ohama Memorial Hall 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Nobumoto Ohama Memorial Hall 
Paper Information
Registration To LOIS 
Conference Code 2017-03-LOIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluating Estimation Methods of Reconstruction Accuracy of Negative Surveys Using Field Survey Data of Air Pollution 
Sub Title (in English)  
Keyword(1) Mobile Environmental Sensing  
Keyword(2) Privacy  
Keyword(3) Data Perturbation  
Keyword(4) Negative Surveys  
Keyword(5) Reconstruction Accuracy  
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1st Author's Name Takao Suzuki  
1st Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
2nd Author's Name Masaki Ito  
2nd Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
3rd Author's Name Kaoru Sezaki  
3rd Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
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Speaker Author-1 
Date Time 2017-03-02 14:55:00 
Presentation Time 20 minutes 
Registration for LOIS 
Paper # LOIS2016-77 
Volume (vol) vol.116 
Number (no) no.488 
Page pp.85-90 
#Pages
Date of Issue 2017-02-23 (LOIS) 


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