An implementation of secure multi-party computations to preserve privacy when processing EMR data

Author

Andersen, Anders

Author_Institution

Dept. of Comput. Sci., Univ. of Tromso, Tromso, Norway

fYear

2013

fDate

10-12 July 2013

Firstpage

381

Lastpage

384

Abstract

The combination of secure multi-party computations (SMC) algorithms, encryption, public key infrastructure (PKI), certificates, and a certificate authority (CA) is used to implement an infrastructure and a toolset for statistical analysis of electronic medical record (EMR) data. EMR data are typically located at different general practices and hospitals. These general practices and hospitals are considered nodes in a computing graph. The infrastructure and toolset has to take into consideration legal, security and privacy issues involved in statistical analysis of such data. The described approach tries to support a wide range of possible SMC algorithms and computing graphs.

Keywords

data analysis; data privacy; graph theory; medical information systems; public key cryptography; statistical analysis; CA; EMR data processing; PKI; SMC algorithms; certificate authority; computing graph; electronic medical record data; encryption; legal issues; privacy issues; privacy preservation; public key infrastructure; secure multiparty computations algorithms; security issues; statistical analysis; Data privacy; Encryption; Public key; Receivers; Snow;

fLanguage

English

Publisher

ieee

Conference_Titel

Privacy, Security and Trust (PST), 2013 Eleventh Annual International Conference on

Conference_Location

Tarragona

Type

conf

DOI

10.1109/PST.2013.6596096

Filename

6596096