Abstract

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 users 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 users 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 informations 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. 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, URL: http://www.ijtsrd.com/papers/ijtsrd11086.pdf http://www.ijtsrd.com/engineering/computer-engineering/11086/protection-of-medical-data-sharing-and-intrusion-avoidance-based-on-cloudlet/m-babu

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