Secure Health Monitoring in the Cloud Using Homomorphic Encryption: A Branching-Program Formulation

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Author(s): Scott Ames (University of Rochester, USA), Muthuramakrishnan Venkitasubramaniam (University of Rochester, USA), Alex Page (University of Rochester, USA), Ovunc Kocabas (University of Rochester, USA)and Tolga Soyata (University of Rochester, USA)
Copyright: 2015
Pages: 37
Source title: Enabling Real-Time Mobile Cloud Computing through Emerging Technologies
Source Author(s)/Editor(s): Tolga Soyata (University of Rochester, USA)
DOI: 10.4018/978-1-4666-8662-5.ch004

Keywords: Cloud Computing / Computer Science & IT / High Performance Computing / Information Science Reference

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Abstract

Extending cloud computing to medical software, where the hospitals rent the software from the provider sounds like a natural evolution for cloud computing. One problem with cloud computing, though, is ensuring the medical data privacy in applications such as long term health monitoring. Previously proposed solutions based on Fully Homomorphic Encryption (FHE) completely eliminate privacy concerns, but are extremely slow to be practical. Our key proposition in this paper is a new approach to applying FHE into the data that is stored in the cloud. Instead of using the existing circuit-based programming models, we propose a solution based on Branching Programs. While this restricts the type of data elements that FHE can be applied to, it achieves dramatic speed-up as compared to traditional circuit-based methods. Our claims are proven with simulations applied to real ECG data.

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Secure Health Monitoring in the Cloud Using Homomorphic Encryption: A Branching-Program Formulation

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