DocumentCode :
1788039
Title :
Privacy preserving health data processing
Author :
Andersen, Anders ; Yigzaw, Kassaye Yitbarek ; Karlsen, Randi
Author_Institution :
Dept. of Comput. Sci., UiT The Arcic Univ. of Norway, Tromso, Norway
fYear :
2014
fDate :
15-18 Oct. 2014
Firstpage :
225
Lastpage :
230
Abstract :
The usage of electronic health data from different sources for statistical analysis requires a toolset where the legal, security and privacy concerns have been taken into consideration. The health data are typically located at different general practices and hospitals. The data analysis consists of local processing at these locations, and the locations become nodes in a computing graph. To support the legal, security and privacy concerns, the proposed toolset for statistical analysis of health data uses a combination of secure multi-party computation (SMC) algorithms, symmetric and public key encryption, and public key infrastructure (PKI) with certificates and a certificate authority (CA). The proposed toolset should cover a wide range of data analysis with different data distributions. To achieve this, large set of possible SMC algorithms and computing graphs have to be supported.
Keywords :
authorisation; data analysis; data privacy; electronic health records; graph theory; public key cryptography; statistical analysis; CA; PKI; SMC algorithms; certificate authority; computing graph; data analysis; data privacy; electronic health data processing; public key encryption; public key infrastructure; secure multiparty computation; statistical analysis; Data privacy; Encryption; Privacy; Public key; Receivers; Snow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
e-Health Networking, Applications and Services (Healthcom), 2014 IEEE 16th International Conference on
Conference_Location :
Natal
Type :
conf
DOI :
10.1109/HealthCom.2014.7001845
Filename :
7001845
Link To Document :
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