earticle

영어

With the rise of privacy protection awareness and legal norms, we should preserve individual health data confidentiality through de-identification operations while providing “as needed” health information for the doctor's diagnosis and treatment, the heath research study and other health management applications. Traditional privacy risk management systems mainly focus on reducing the re-identification risk but fail to consider the information loss. In addition, when faced with a high-risk situation, they cannot efficiently locate the source of the problem. This paper proposes the Hiatus Tailor (HT) system, which maintains low re-identification risk while providing more authenticated information to database users and identifying high-risk data in the database for better system management. The experimental results prove that compared to traditional risk management methods, the HT system achieves much lower information loss with the same risk of re-identification.