A General Framework Information Loss of Utility-Based Anonymization in Data Publishing

To build anonymization, the data anonymizer must determine following three issues: Firstly, which to be preserved? Secondly, adversary background knowledge used disclosure anonymized data? Thirdly, The usage of We have different anonymization techniques from previous three-question according and information (information utility). In other words, lead loss. this paper, we propose a general framework for utility-based minimize loss in published with trade-off grantee achieving required privacy level.