Abstract

Cloud computing plays vital role in various services to the users. The application of cloud computing includes usage in business, media transmission, banking, health care, military application, insurance, wireless communication, etc. One such application using Cloud computing is health care. The patient health history is very significant for diagnostic analysis and decision making process. The healthcare data processing and communication technology (HDCT) is building a constant and secured health care data processing and sharing Electronic Health Services (EHS) are regularly utilized by the needy, specialists, and social insurance experts to diminish medical service cost and give productive human services forms health-cloud preserves the character-particular sensitive information for numerous purposes including biomedical research, medical health insurance groups, clinical statistics analysis, and many others. The various types of attacks and detection approaches in the healthcare have been reviewed in this work. It brings out the fact that the Electronic Health Data Record (EHDR) should be processed and transmitted in a secured and confidential environment while increasing accuracy and efficiency based on various algorithms such as machine learning.

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