Abstract

With the growing need for the remote caring at home and the everincreasing popularity of mobile devices, more and more applications are being developed to enable remote health monitoring. Combining cloud computing with mobile technologies has enabled the healthcare service provider to offer continuous health data collection and physicians to conveniently monitor and assess users’ health while they are at home. However, users’ health data contain highly confidential information, and servers in the cloud are out of users’ trusted domain. Therefore, users may be reluctant to take advantage of remote health monitoring systems before they make sure their data are properly protected. In this paper, we propose a secure continuous remote health monitoring system named SCRHM with the main component, a searchable encryption scheme supporting range searches for remote health monitoring system. With this scheme, remote health monitoring service provider is able to detect outliers over encrypted health parameters. Using analysis, we prove the correctness and security of the proposed scheme on privacy protection of users’ health data. Via simulation experiments, we validate the performance of the proposed scheme in terms of computation and communication overhead.

Highlights

  • In this paper, we propose a secure continuous RHM system (SCRHM), which is capable of finding odd health parameters over encrypted user health data uploaded continuously from users’ gateway

  • Our contributions are threefold: (i) To enable secure monitoring of users’ health conditions, we propose a secure continuous remote health monitoring system, SCRHM

  • We propose a new searchable encryption scheme supporting range searches in the remote health monitoring system

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Summary

Introduction

The elder patients who suffer sudden medical conditions cannot get help at the first moment and RHM seems to turn into a data recorder To address this problem, in this paper, we propose a secure continuous RHM system (SCRHM), which is capable of finding odd health parameters over encrypted user health data uploaded continuously from users’ gateway. The authors propose encrypting patients’ health parameters homomorphically and outsourcing to healthcare service provider to compute statistical functions over these data and determine patients’ health risks Their scheme is capable of finding odd conditions by calculating risk values. (ii) We design a searchable encryption scheme for the RHM system, so that the RHM service provider can perform numerical range searches over the encrypted data without knowing users’ private health data.

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