Medical privacy protection based on granular computing.
Based on granular computing methodology, we propose two criteria to quantitatively measure privacy invasion. The total cost criterion measures the effort needed for a data recipient to find private information. The average benefit criterion measures the benefit a data recipient obtains when he received the released data. These two criteria remedy the inadequacy of the deterministic privacy formulation proposed in Proceedings of Asia Pacific Medical Informatics Conference, 2000; Int J Med Inform 2003;71:17-23. Granular computing methodology provides a unified framework for these quantitative measurements and previous bin size and logical approaches. These two new criteria are implemented in a prototype system Cellsecu 2.0. Preliminary system performance evaluation is conducted and reviewed.
Wang
Da-Wei
DW
Institute of Information Science, Academia Sinica, Nankang, 11529 Taipei, Taiwan. wdw@iis.sinica.edu.tw
Liau
Churn-Jung
CJ
Hsu
Tsan-Sheng
TS
D003205:Computing Methodologies; D003219:Confidentiality; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods; D008490:Medical Informatics; D016347:Medical Records Systems, Computerized / Q000592:standards*