CAM: Cloud-Assisted Privacy Preserving Mobile Health Monitoring

Authors : Abhishek Sinha, Vandesh Goyal, Suganya Padmanaban, Ashun Kothari, Varun Nair.

Volume/Issue : Volume 3 - 2018, Issue 4 - April

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proving safe and presentation analysis demonstrates the efficiency in Cloud storage. EHEALTHCARE systems can facilitate the health condition monitoring, disease modeling and early intervention, and evidence-based medical treatments. A set of body sensors are deployed around the patient Cloud-assisted mobile health monitoring, which applies the widespread mobile communications and cloud storage technologies to provide feedback decision support, has been considered as a activist approach to improving the quality of healthcare service while lowering the healthcare cost. The present technology risks the clients privacy and this is one of the main reason the mobile technology that keep a track of your health data are widely discouraged. The proposed system ensures the protection of privacy of the clients such that mobile health monitoring is achieved by the technological implications of privacy that are cloud assisted. Moreover, the outsourcing decryption and a newly projected re encryption technique that provides both privacy and virtual proxy to the user or the client that are adapted to shift the computational difficultyof the involved clients to the cloud without compromising client’s service provider’s coherent assets. Proving safe and performance analysis demonstrates the competence in C systems that keep cloud well recorded.

Keywords : Distributed File System; Erasure Code; Load Balancing; Cloud.


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