Data Protection and Data Security Regarding Grid Computing in Biomedical Research-Reference-Cited by-同舟云学术

Data Protection and Data Security Regarding Grid Computing in Biomedical Research

Published:2012 Issue: Volume: Page:979-992
ISSN:
Container-title:Grid and Cloud Computing
language:
Short-container-title:

Author:

Mohammed Yassene¹,Viezens Fred¹,Dickmann Frank¹,Falkner Jürgen²,Lingner Thomas¹,Krefting Dagmar³,Sax Ulrich¹

Affiliation:

1. Georg-August-University, Germany

2. Fraunhofer Institute for Industrial Engineering IAO, Germany

3. University Medicine Berlin, Germany

Abstract

This chapter describes security and privacy issues within the scope of biomedical Grid Computing. Grid Computing is of rising interest for life sciences (Konagaya, 2006) and has been used since many years in sciences like high energy physics. Anyhow, medical applications on the grid require a special focus on data security and data protection issues. Based on general security and privacy rules, the authors describe the current state of the art of grid security. Then they describe which additional security measures have to be established in different biomedical grid scenarios. Legal aspects have to be taken into account as well as the current possibilities and flaws of grid security technology. Describing the enhanced security concept in MediGRID (MediGRID, 2005) they outline how medical Grid Computing could fulfill privacy regulations used in more demanding environments.

Publisher

IGI Global

Reference53 articles.

1. Alfieri, R., Cecchini, R., Ciaschini, V., dell’Agnello, L., Frohner, A., Gianoli, A., et al. (2004). VOMS, an Authorization System for Virtual Organizations. In F. Fernández Rivera (Ed.), Grid computing: first European Across Grids Conference, Santiago de Compostela, Spain, February 13-14, 2003: revised papers. Lecture notes in computer science, 2970 (pp. xi, 328 p.). New York: Springer.

2. Allaert, F. A. (2002). Security standards for healthcare information systems: a perspective from the EU ISIS MEDSEC Project. Amsterdam, the Netherlands: IOS Press.

3. The design and implementation of Grid database services in OGSA-DAI

4. An eConsent-based System Architecture Supporting Cooperation in Integrated Healthcare Networks.;J.Bergmann;Studies in Health Technology and Informatics,2005

5. Blanquer, I., Hernandez, V., & Segrelles, D. (2006). TRENCADIS – A Grid Architecture for Creating Virtual Repositories of DICOM Objects in an OGSA-Based Ontological Framework. In Biological and Medical Data Analysis (pp. 183-194).