Privacy Protection and Intrusion Avoidance for Cloudlet-Based Medical Data Sharing

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Privacy Protection and Intrusion Avoidance for Cloudlet-based Medical Data Sharing

Privacy Protection and Intrusion Avoidance for Cloudlet-Based Medical Data Sharing

Abstract

Remote health monitoring and older health care has become a popular application with the advancement of wearable medical devices. Privacy Protection and Intrusion Avoidance for Cloudlet-based Medical Data Sharing Data collected from patients through wearable devices (such as heartbeat, blood pressure, etc.) must be passed to cloud-run applications to implement various services such as expert advice, emergency assistance, etc.

The cloud storage system provides distributed clients with convenient file storage and sharing services. To solve integrity, we present identity-based data outsourcing (IBDO), outsourcing and original auditing concerns about outsourced documents, the program is equipped with an ideal feature that facilitates existing recommendations to protect outsourcing data. 

Introduction

Privacy Protection and Intrusion Avoidance The huge amount of data collected by Body Area Network(BAN) nodes requires scalable, on-demand, powerful, and secure storage and processing infrastructure.projects reports on Privacy Protection and Intrusion Cloud computing plays an important role in achieving the aforementioned objectives.

Project on Privacy Protection and Intrusion Avoidance for Cloudlet-based Medical Data Sharing The cloud computing environment connects different devices ranging from miniaturized sensor nodes to high-performance supercomputers to deliver people-centric and context-centric services to individuals and industries. The possible integration of BANs with cloud computing will introduce a viable and hybrid platform that must be able to process the enormous amount of data collected from multiple BANs.