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Distributed and Self-organizing Systems
Distributed and Self-organizing Systems
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PUBLICATION

Privacy-aware Storing and Searching in the Cloud

Type

Conference Paper

Year

2014

Authors

wiedemann

gaedke

Research Area

Web Engineering

Event

2014 Symposium on Computational Sustainability

Published in

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PDF

Abstract

Storing personal data or business sensitive data in the cloud is a huge challenge. Since disclosures of Edward Snowden, the trust in encryptions of the cloud provider decreased enormously. While this problem exists in many domains, like financial data, we identified a scenario in the e-Health sector in Germany. There it is an important issue to preserve the patients' privacy when storing their e-Health records in the cloud. That is, encryption and decryption must be done by the client and it must be ensured that the cloud provider cannot access any e-Health record. Since a lot of e-Health records can be stored in such a system, it must be possible to search on the encrypted data without revealing any meta data or the records themselves. In this paper we present our planned research to securely store data in the cloud. We propose a first approach to deal with the identified requirements and describe our research methodology.

Reference

Wiedemann, Fabian; Gaedke, Martin: Privacy-aware Storing and Searching in the Cloud, 2014.





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