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Paper Abstract and Keywords
Presentation 2013-11-28 16:50
An Algorithm of k-anonymization for Location Information with Errors
Yuichi Sei, Akihiko Ohsuga (Univ. of Electro-Comm.) AI2013-26
Abstract (in Japanese) (See Japanese page) 
(in English) Data mining can support effective marketing or advertisement based on user' attributes such as sex, age, and current location. However, attackers can identify specific user's attributes if they know the user's location. A lot of approaches for anonymization such as k-anonymity have been proposed to tackle this problem. Existing studies, however, do not take errors of the location information into consideration. Therefore, there is a risk that a specific user's attribute can be identified by an attacker even if their information are anonymized. Moreover, the utility measure proposed in existing studies does not consider errors of the location information. We propose a novel privacy measure and a utility measure that can treat the errors of the location information and propose a method to anonymize the information of users' locations. By simulations, we prove our proposed method can improve the utility of the anonymized information and reduce the risk of the user's attribute being identified.
Keyword (in Japanese) (See Japanese page) 
(in English) Ubiquitous Computing / Privacy / Location / Anonymization / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 332, AI2013-26, pp. 41-46, Nov. 2013.
Paper # AI2013-26 
Date of Issue 2013-11-21 (AI) 
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)
Download PDF AI2013-26

Conference Information
Committee AI  
Conference Date 2013-11-28 - 2013-11-29 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To AI 
Conference Code 2013-11-AI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Algorithm of k-anonymization for Location Information with Errors 
Sub Title (in English)  
Keyword(1) Ubiquitous Computing  
Keyword(2) Privacy  
Keyword(3) Location  
Keyword(4) Anonymization  
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Keyword(6)  
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1st Author's Name Yuichi Sei  
1st Author's Affiliation The University of Electro-Communications (Univ. of Electro-Comm.)
2nd Author's Name Akihiko Ohsuga  
2nd Author's Affiliation The University of Electro-Communications (Univ. of Electro-Comm.)
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Speaker Author-1 
Date Time 2013-11-28 16:50:00 
Presentation Time 30 minutes 
Registration for AI 
Paper # AI2013-26 
Volume (vol) vol.113 
Number (no) no.332 
Page pp.41-46 
#Pages
Date of Issue 2013-11-21 (AI) 


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