← Back to VOLUME 3, ISSUE 3, MARCH 2014
This work is licensed under a Creative Commons Attribution 4.0 International License.
Cloud-Assisted Privacy Preserving Mobile Health Monitoring Using PPSPC technique
M.B.SUSHRUTHA Student- M.Tech, Department of Computer Science & Engineering, Cambridge Institute of Technology, Bangalore, India
Downloads: Download PDF
π 44 viewsπ₯ 0 downloads
Abstract: Cloud-assisted mobile health (mHealth) monitoring, which applies the prevailing mobile co mmun ications and cloud computing technologies to provide feedback decision support, has been considered as a revolutionary approach to improving the quality of healthcare service while lo wering the healthcare cost. Unfortunately, it also poses a serious risk on both clientsβ privacy and intellectual property of monitoring service providers, which could deter the wide adoption of mHealth technology. In this paper we discuss about attribute-based access control and a new privacy- preserving scalar product computation (PPSPC) technique, and allows a medical user to decide who can participate in the opportunistic computing to ensure privacy.
Keywords: CAM, Mobile-Healthcare emergency, opportunistic computing, user-centric privacy access control, PPSPC
Keywords: CAM, Mobile-Healthcare emergency, opportunistic computing, user-centric privacy access control, PPSPC
How to Cite:
[1] M.B.SUSHRUTHA Student- M.Tech, Department of Computer Science & Engineering, Cambridge Institute of Technology, Bangalore, India, βCloud-Assisted Privacy Preserving Mobile Health Monitoring Using PPSPC technique,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
This work is licensed under a Creative Commons Attribution 4.0 International License.