Presentation 2014-11-22
How to Utilize Location Information for Distinguishing Users
Takuya FUNAKOSHI, Masahiro MAMBO,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Lifelig, log of individual daily activity, is a valuable resource useful for decision making, recommendation or statistical analysis. A typical example of lifelog is location information and we examine whether location information can be used for distinguishing users. We implement a system to collect the location information by smart phone, train Markov models by location and time, and use the models for analyzing individual patterns. We also discuss the effectiveness of our proposal based on the result of the experiment.
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Keyword(in English) Lifelog / Location Information / Authentication / Markov Model / User Estimation
Paper # ISEC2014-68,SITE2014-59,LOIS2014-38
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Committee ISEC
Conference Date 2014/11/14(1days)
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Registration To Information Security (ISEC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) How to Utilize Location Information for Distinguishing Users
Sub Title (in English)
Keyword(1) Lifelog
Keyword(2) Location Information
Keyword(3) Authentication
Keyword(4) Markov Model
Keyword(5) User Estimation
1st Author's Name Takuya FUNAKOSHI
1st Author's Affiliation College of Science and Engineering, Kanazawa University()
2nd Author's Name Masahiro MAMBO
2nd Author's Affiliation Institute of Science and Engineering, Kanazawa University
Date 2014-11-22
Paper # ISEC2014-68,SITE2014-59,LOIS2014-38
Volume (vol) vol.114
Number (no) 319
Page pp.pp.-
#Pages 6
Date of Issue