Presentation 2012-08-27
Bottleneck analysis and improvement of a privacy-preserving statistical analysis method for read-world data network
Jun ISHII, Hiroyuki MAEOMICHI, Ikuo YODA,
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Abstract(in English) In this paper, we implemented proposed protocol which obtains statistical results while preserving the value of data and data-holders' privacy information in real-world data network. We improved our implementation by checking processing time in every step. Finally we showed we can obtain statistical results from a large amount of data-holder in a few seconds without leaking their privacy information.
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Keyword(in English) Real World Data / Privacy-preserving / WebSocket
Paper # LOIS2012-15,IE2012-47,EMM2012-38
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Conference Information
Committee LOIS
Conference Date 2012/8/20(1days)
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Registration To Life Intelligence and Office Information Systems (LOIS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Bottleneck analysis and improvement of a privacy-preserving statistical analysis method for read-world data network
Sub Title (in English)
Keyword(1) Real World Data
Keyword(2) Privacy-preserving
Keyword(3) WebSocket
1st Author's Name Jun ISHII
1st Author's Affiliation NTT Network Innovation Laboratories()
2nd Author's Name Hiroyuki MAEOMICHI
2nd Author's Affiliation NTT Network Innovation Laboratories
3rd Author's Name Ikuo YODA
3rd Author's Affiliation NTT Network Innovation Laboratories
Date 2012-08-27
Paper # LOIS2012-15,IE2012-47,EMM2012-38
Volume (vol) vol.112
Number (no) 188
Page pp.pp.-
#Pages 5
Date of Issue