Cloudlet Based Medical Data Sharing with Privacy Protection
Anita Harsoor1, Revanasidda2, PrakashPattan3

1Dr. Anita Harsoor, Computer Science and Engineering, PDACE, Kalaburgi, India.
2Revanasidda, Computer Science and Engineering, PDACE, Kalaburgi, India.
3Dr. Prakash Pattan, Computer Science and Engineering, PDACE, Kalaburgi, India.

Manuscript received on 30 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 2538-2542 | Volume-8 Issue-9, July 2019 | Retrieval Number I7770078919/19©BEIESP | DOI: 10.35940/ijitee.I7770.078919
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: This modern society expects sophisticated modern health care services to enhance the healthy living conditions. The world’s ageing population and prevalence of chronic diseases has lead to high demand for medical data monitoring. The modern technology is supporting in all the way to realize the sophisticated health services. Specialized doctors are generally very rare and they may be geographically far away from needy patient. Without the support of technology, they cannot provide health services from remote places. In most of the cases, patients are immovable to doctor’s place due to their critical health conditions. But, the technology is a coming to help in such situations in a great way. The modern technology is helping in providing health services remotely with same quality as a local doctor can provide. The key concept behind this technology is collecting health data with highest possible accuracy and sharing it with remotely present health specialists. The wearable devices can collect body data most accurately and can send data to cloud for sharing it with remotely present health specialists. But, we know, sharing medical information is very critical and challenging issue because medical information contains patient’s important and highly confidential information. On the other hand, medical ethics says that doctors cannot share patient’s health records with others without the consent of patient. Such data will be shared between only authentic persons in cloud. The chain of processing mainly includes data collection, data storage, and data sharing. In this work a protected cloudlet based medical data sharing is proposed. In this paper, three major issues pertaining to medical data sharing are addressed. Firstly, a method for secured medical data sharing using cloudlet is proposed. During data collection, Number Theory Research Unit (NTRU) method used to encrypt user’s body data collected by wearable devices, then transmitted to nearby cloudlet. Secondly, a new trust model to help users to select trustable partners for sharing stored data in the cloudlet is presented. This model is to help similar patients to communicate with each other. Thirdly, a novel collaborative intrusion detection system (IDS) method based on cloudlet mesh is proposed, which can effectively prevent the remote healthcare big data cloud from attacks. Finally, an analysis of security to the information is presented and the results are quite encouraging.
Keywords: Index Terms: NTRU, IDS, Cloudlet and Healthcare.

Scope of the Article: Security, Trust and Privacy