To protect the Patient’s privacy for mobile health monitoring system

In this paper, we design a cloud-assisted privacy preserving mobile health monitoring system, called CAM, which can effectively protect the privacy of clients and the intellectual proerty of m Health service providers. To protect the clients’privacy, we apply the anonymous Boneh-Franklin identity based encryption (IBE) in medical diagnostic branching programs. To reduce clients’ decryption complexity, we incorporate the recently proposed outsourcing decryption technique. into the underlying multi-dimensional range queries system to shift clients’ computational complexity to the cloud without revealing any information on either clients’ query input or the decrypted decision to the cloud. Finally, our security and performance analysis demonstrates the effectiveness of our proposed design.