Sharing Privacy Protected and Statistically Sound Clinical Research Data Using Outsourced Data Storage
المؤلفون المشاركون
Noh, Geontae
Jeong, Ik Rae
Chun, Ji Young
المصدر
Journal of Applied Mathematics
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-05-18
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
It is critical to scientific progress to share clinical research data stored in outsourced generally available cloud computing services.
Researchers are able to obtain valuable information that they would not otherwise be able to access; however, privacy concerns arise when sharing clinical data in these outsourced publicly available data storage services.
HIPAA requires researchers to deidentify private information when disclosing clinical data for research purposes and describes two available methods for doing so.
Unfortunately, both techniques degrade statistical accuracy.
Therefore, the need to protect privacy presents a significant problem for data sharing between hospitals and researchers.
In this paper, we propose a controlled secure aggregation protocol to secure both privacy and accuracy when researchers outsource their clinical research data for sharing.
Since clinical data must remain private beyond a patient’s lifetime, we take advantage of lattice-based homomorphic encryption to guarantee long-term security against quantum computing attacks.
Using lattice-based homomorphic encryption, we design an aggregation protocol that aggregates outsourced ciphertexts under distinct public keys.
It enables researchers to get aggregated results from outsourced ciphertexts of distinct researchers.
To the best of our knowledge, our protocol is the first aggregation protocol which can aggregate ciphertexts which are encrypted with distinct public keys.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Noh, Geontae& Chun, Ji Young& Jeong, Ik Rae. 2014. Sharing Privacy Protected and Statistically Sound Clinical Research Data Using Outsourced Data Storage. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-467568
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Noh, Geontae…[et al.]. Sharing Privacy Protected and Statistically Sound Clinical Research Data Using Outsourced Data Storage. Journal of Applied Mathematics No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-467568
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Noh, Geontae& Chun, Ji Young& Jeong, Ik Rae. Sharing Privacy Protected and Statistically Sound Clinical Research Data Using Outsourced Data Storage. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-467568
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-467568
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر