TY  - JOUR
T1  - A Study on Service-based Secure Anonymization for Data Utility Enhancement
AU  - Hwang, Chikwang 
AU  - Choe, Jongwon 
AU  - Hong, Choong Seon 
JO  - Journal of KIISE, JOK
PY  - 2015
DA  - 2015/1/14
DO  - 
KW  - anonymization
KW  - k-anonymity
KW  - l-diversity
KW  - linking attack
KW  - game theory
KW  - cooperative game theory
AB  - Personal information includes information about a living human individual. It is the information identifiable through name, resident registration number, and image, etc. Personal information which is collected by institutions can be wrongfully used, because it contains confidential information of an information object. In order to prevent this, a method is used to remove personal identification elements before distributing and sharing the data. However, even when the identifier such as the name and the resident registration number is removed or changed, personal information can be exposed in the case of a linking attack. This paper proposes a new anonymization technique to enhance data utility. To achieve this, attributes that are utilized in service tend to anonymize at a low level. In addition, the anonymization technique of the proposal can provide two or more anonymized data tables from one original data table without concern about a linking attack. We also verify our proposal by using the cooperative game theory.