Home > Engineering > Computer Engineering > Volume-2 > Issue-3 > Protection of Medical Data Sharing and Intrusion Avoidance Based on Cloudlet

Protection of Medical Data Sharing and Intrusion Avoidance Based on Cloudlet

Call for Papers

Volume-8 | Advancing Multidisciplinary Research and Analysis - Exploring Innovations

Last date : 28-Mar-2024

Best International Journal
Open Access | Peer Reviewed | Best International Journal | Indexing & IF | 24*7 Support | Dedicated Qualified Team | Rapid Publication Process | International Editor, Reviewer Board | Attractive User Interface with Easy Navigation

Journal Type : Open Access

First Update : Within 7 Days after submittion

Submit Paper Online

For Author

Research Area


Protection of Medical Data Sharing and Intrusion Avoidance Based on Cloudlet


M. Babu | V. Priyadharshini | R. Punitha | V. Reena

https://doi.org/10.31142/ijtsrd11086



M. Babu | V. Priyadharshini | R. Punitha | V. Reena "Protection of Medical Data Sharing and Intrusion Avoidance Based on Cloudlet" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3, April 2018, pp.758-760, URL: https://www.ijtsrd.com/papers/ijtsrd11086.pdf

Generally medical data is commonly known as health information of patients, organize and track medical records for healthcare facilities. It can be analyzed for service quality and insurance reimbursement purpose. Cloud assisted healthcare big data computing becomes critical to meet user’s ever growing demands on health consultation. The body data collected by device is transmits to the mobile. The mobile collects the information in an array. The information contains user’s sensitive information, so it converts to cipher text format. The patients suffer from similar kinds of symptoms; they can able to exchange their information and suggest hospital in personal chat application. A similar disease patient connected to common group, they exchange their information. Patient information’s are divided into two types and stored in cloud. The two types are EID and MI. EID is the property which can identify the user apparently. MI contains medical information such as disease type and medicine. The two information stored in two independent tables. EID stored in cipher text format and MI stored in plaintext format.

Cloud computing, Data privacy, Encryption, Intrusion detection, Healthcare


IJTSRD11086
Volume-2 | Issue-3, April 2018
758-760
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

Thomson Reuters
Google Scholer
Academia.edu

ResearchBib
Scribd.com
archive

PdfSR
issuu
Slideshare

WorldJournalAlerts
Twitter
Linkedin