Published on in Vol 1, No 2 (2012): Jul-Dec

An Approach to Reducing Information Loss and Achieving Diversity of Sensitive Attributes in k-anonymity Methods

An Approach to Reducing Information Loss and Achieving Diversity of Sensitive Attributes in k-anonymity Methods

An Approach to Reducing Information Loss and Achieving Diversity of Sensitive Attributes in k-anonymity Methods

Authors of this article:

Sunyong Yoo 1 ;   Moonshik Shin 1 ;   Doheon Lee 1
Sunyong Yoo 1, PhD Student;  Moonshik Shin 1, PhD Student;  Doheon Lee 1, PhD

1 Department of Bio and Brain Engineering, KAIST , Daejeon , KR

Corresponding Author:

  • Doheon Lee, PhD
  • Department of Bio and Brain Engineering, KAIST
  • Department of Bio and Brain Engineering, KAIST, Daejeon 305-701, Republic of Korea
  • Daejeon
  • KR
  • Phone: 82 042 350 8681
  • Email: dhlee@kaist.ac.kr