Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You and Your Team.

Learn More →

LooM An anonymity quantification method in pervasive computing environments

LooM An anonymity quantification method in pervasive computing environments Purpose – The paper's aim is to present a novel anonymity quantification method, LooM (loosely managed privacy protection method) for achieving privacy protection in pervasive computing environments. Design/methodology/approach – The main feature is that the method quantitatively controls anonymity by a single value (disclosure threshold value) using a classification algorithm of the decision tree. The value is not affected by the set size of users or the distribution of users' private information. The effectiveness of this method is confirmed by simulation using sample databases of attribute‐value pairs. Proposes a model of privacy information disclosure that achieves a balance between users' privacy protection requirements and service providers' disclosure requirements and applies web questionnaire survey data to this model. Findings – LooM can be applicable to a variety of pervasive computing and communication services handling a huge amount of data containing privacy information. Originality/value – The paper proposes a model of privacy information disclosure that achieves a balance between users' privacy protection requirements and service providers' disclosure requirements. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Pervasive Computing and Communications Emerald Publishing

LooM An anonymity quantification method in pervasive computing environments

Loading next page...
 
/lp/emerald-publishing/loom-an-anonymity-quantification-method-in-pervasive-computing-gXD97WKOp7
Publisher
Emerald Publishing
Copyright
Copyright © 2008 Emerald Group Publishing Limited. All rights reserved.
ISSN
1742-7371
DOI
10.1108/17427370810873147
Publisher site
See Article on Publisher Site

Abstract

Purpose – The paper's aim is to present a novel anonymity quantification method, LooM (loosely managed privacy protection method) for achieving privacy protection in pervasive computing environments. Design/methodology/approach – The main feature is that the method quantitatively controls anonymity by a single value (disclosure threshold value) using a classification algorithm of the decision tree. The value is not affected by the set size of users or the distribution of users' private information. The effectiveness of this method is confirmed by simulation using sample databases of attribute‐value pairs. Proposes a model of privacy information disclosure that achieves a balance between users' privacy protection requirements and service providers' disclosure requirements and applies web questionnaire survey data to this model. Findings – LooM can be applicable to a variety of pervasive computing and communication services handling a huge amount of data containing privacy information. Originality/value – The paper proposes a model of privacy information disclosure that achieves a balance between users' privacy protection requirements and service providers' disclosure requirements.

Journal

International Journal of Pervasive Computing and CommunicationsEmerald Publishing

Published: Apr 4, 2008

Keywords: Computer networks; Privacy

References