SPOC: A Secure and Privacy-Preserving Opportunistic Computing Framework for Mobile-Healthcare Emergency

Abstract

Abstract-With the pervasiveness of smart phones and the advance of wireless body sensor networks (BSNs), mobile Healthcare (m-Healthcare), which extends the operation of Healthcare provider into a pervasive environment for better health monitoring, has attracted considerable interest recently. However, the flourish of m-Healthcare still faces many challenges including information security and privacy preservation. In this paper, we propose a secure and privacy-preserving opportunistic computing framework, called SPOC, for m-Healthcare emergency. With SPOC, smart phone resources including computing power and energy can be opportunistically gathered to process the computing-intensive personal health information (PHI) during m-Healthcare emergency with minimal privacy disclosure. In specific, to leverage the PHI privacy disclosure and the high reliability of PHI process and transmission in m-Healthcare emergency, we introduce an efficient user-centric privacy access control in SPOC framework, which is based on an 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 assist in processing his overwhelming PHI data. Detailed security analysis shows that the proposed SPOC framework can efficiently achieve user-centric privacy access control in m-Healthcare emergency. In addition, performance evaluations via extensive simulations demonstrate the SPOC's effectiveness in term of providing high reliable PHI process and transmission while minimizing the privacy disclosure during m-Healthcare emergency.

Prophet: A Context-Aware Location Privacy-Preserving Scheme in Location Sharing Service

“…. , 10 POIs between 1 and 2 as HL 1 and add 5,10,15,20,25, and 30 un-checked-in POIs between 1 and 2 as HL 2 .…”

“…Some research works focus on the privacy-preserving of healthcare information in mobile health monitoring environment [24,25]. Cloud-assisted mobile health (mHealth) monitoring is a revolutionary way to improve the quality of healthcare service.…”

“…Cloudassisted mHealth monitoring system (CAM) [24] which relies on the anonymous Boneh-Franklin identity-based encryption (IBE) in medical diagnostic programs. SPOC [25] is a secure and privacy-preserving opportunistic computing framework which is based on attribute-based access control and a new privacy-preserving scalar product computation (PPSPC) technique to protect the users' personal health information (PHI) security.…”

Remote Data Integrity Checking and Sharing in Cloud-Based Health Internet of Things

“…In 2014, Wang et al proposed the fair remote retrieval of outsourced private medical records in electronic health networks [6]. Lu et al proposed privacy preserving opportunistic computing framework for mobile-health care emergency [7]. In 2016, He et al introduced a novel network security architecture for cloud computing considering characteristics of cloud computing [8].…”

Exploiting Geo-Distributed Clouds for a E-Health Monitoring System With Minimum Service Delay and Privacy Preservation

“…The flourish of e-health monitoring systems faces the challenges in privacy preservation [24], [25]. TA attacks have been recognized as effective methods to reveal the type of users' health data [12].…”