Privacy Management Based on Profile for Personalized Services in u-City 


Vol. 17,  No. 2, pp. 135-144, Apr.  2010
10.3745/KIPSTC.2010.17.2.135


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  Abstract

U-City pursues personalized service by collecting contexts through sensors located over the city and presenting the service automatically depending not on the user’s request but on the situations that are needed. To provide the personalized service, however, contexts collected through various sensors are needed, and they include private information. Therefore, it is important to keep a balance between the convenience by presenting service and protecting private information. In this paper, we classify and grade person’s various contexts requested in the personalized service environment. Based on these, we make decisions on whether to present the service or not by profile-matching between user profile and service profile. Also, we propose an efficient privacy-protection management scheme to encrypt transmitted private information and to control key distribution.

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[IEEE Style]

J. G. Lee, J. H. Kim, O. Y. Song, "Privacy Management Based on Profile for Personalized Services in u-City," The KIPS Transactions:PartC, vol. 17, no. 2, pp. 135-144, 2010. DOI: 10.3745/KIPSTC.2010.17.2.135.

[ACM Style]

Jun Gyu Lee, Ji Ho Kim, and Oh Young Song. 2010. Privacy Management Based on Profile for Personalized Services in u-City. The KIPS Transactions:PartC, 17, 2, (2010), 135-144. DOI: 10.3745/KIPSTC.2010.17.2.135.

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