Presentation 2017-03-02
Evaluating Estimation Methods of Reconstruction Accuracy of Negative Surveys Using Field Survey Data of Air Pollution
Takao Suzuki, Masaki Ito, Kaoru Sezaki,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) Mobile Environmental Sensing / Privacy / Data Perturbation / Negative Surveys / Reconstruction Accuracy
Paper # LOIS2016-77
Date of Issue 2017-02-23 (LOIS)

Conference Information
Committee LOIS
Conference Date 2017/3/2(2days)
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
Chair Hiroyuki Nishi(Sojo Univ.)
Vice Chair Tomohiro Yamada(NTT)
Secretary Tomohiro Yamada(NTT)
Assistant Yukihiro Nakamura(NTT)

Paper Information
Registration To Technical Committee on Life Intelligence and Office Information Systems
Language JPN
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
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)
Date 2017-03-02
Paper # LOIS2016-77
Volume (vol) vol.116
Number (no) LOIS-488
Page pp.pp.85-90(LOIS),
#Pages 6
Date of Issue 2017-02-23 (LOIS)