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CAM: Cloud-Assisted Privacy Preserving Mobile Health Monitoring

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4 Author(s)
Huang Lin ; Dept. of Electr. & Comput. Eng., Univ. of Florida, Gainesville, FL, USA ; Jun Shao ; Chi Zhang ; Yuguang Fang

Cloud-assisted mobile health (mHealth) monitoring, which applies the prevailing mobile communications and cloud computing technologies to provide feedback decision support, has been considered as a revolutionary approach to improving the quality of healthcare service while lowering the healthcare cost. Unfortunately, it also poses a serious risk on both clients' privacy and intellectual property of monitoring service providers, which could deter the wide adoption of mHealth technology. This paper is to address this important problem and design a cloud-assisted privacy preserving mobile health monitoring system to protect the privacy of the involved parties and their data. Moreover, the outsourcing decryption technique and a newly proposed key private proxy reencryption are adapted to shift the computational complexity of the involved parties to the cloud without compromising clients' privacy and service providers' intellectual property. Finally, our security and performance analysis demonstrates the effectiveness of our proposed design.

Published in:

Information Forensics and Security, IEEE Transactions on  (Volume:8 ,  Issue: 6 )