19 July 2013 Privacy-preserving periodical publishing for medical information
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Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 88780V (2013) https://doi.org/10.1117/12.2031757
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China
Abstract
Existing privacy-preserving publishing models can not meet the requirement of periodical publishing for medical information whether these models are static or dynamic. This paper presents a (k,l)-anonymity model with keeping individual association and a principle based on (Epsilon)-invariance group for subsequent periodical publishing, and then, the PKIA and PSIGI algorithms are designed for them. The proposed methods can reserve more individual association with privacy-preserving and have better publishing quality. Experiments confirm our theoretical results and its practicability.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hua Jin, Hua Jin, Shi-guang Ju, Shi-guang Ju, Shan-cheng Liu, Shan-cheng Liu, } "Privacy-preserving periodical publishing for medical information", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88780V (19 July 2013); doi: 10.1117/12.2031757; https://doi.org/10.1117/12.2031757
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