دورية أكاديمية
Study on Differential Privacy Protection for Medical Set-Valued Data
العنوان: | Study on Differential Privacy Protection for Medical Set-Valued Data |
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المؤلفون: | WANG Mei-shan, YAO Lan, GAO Fu-xiang, XU Jun-can |
المصدر: | Jisuanji kexue, Vol 49, Iss 4, Pp 362-368 (2022) |
بيانات النشر: | Editorial office of Computer Science, 2022. |
سنة النشر: | 2022 |
المجموعة: | LCC:Computer software LCC:Technology (General) |
مصطلحات موضوعية: | set-valued data, medical big data, differential privacy, privacy protection, data utility, Computer software, QA76.75-76.765, Technology (General), T1-995 |
الوصف: | Electronic medical data surges along with the constant development of information technologies and medical care digitalization.It provides foundations for further application on data analysis, data mining and intelligent diagnosis.The fact that me-dical data are massive and involve a lot of patient privacy.How to protect patient privacy while using medical data is challenging.The predominant principle for the solutions is anonymity.It is not competent in confidentiality or availability when attackers possess strong background knowledge.This paper proposes an optimized classification tree and an improved Diffpart.In our design, association of data is introduced to sift set-valued data for DP based perturbation, which satisfies the utility and supports statistic query.Then test is conducted with 240000 practical medical data and the results show that the proposed algorithm holds DP distribution and outperforms Diffpart in privacy and utility. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | Chinese |
تدمد: | 1002-137X |
العلاقة: | https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-4-362.pdfTest; https://doaj.org/toc/1002-137XTest |
DOI: | 10.11896/jsjkx.210300032 |
الوصول الحر: | https://doaj.org/article/24cef555bc97433782c8b11d9f54dc12Test |
رقم الانضمام: | edsdoj.24cef555bc97433782c8b11d9f54dc12 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 1002137X |
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DOI: | 10.11896/jsjkx.210300032 |