A Novel Hybrid Algorithm for Securing Data Over Wireless Transfer in Machine Learning Based Prediction System

Data security refers to the path toward protecting information from unauthorized user access and data corruption all through its lifecycle. Most of security system deployed in the current system leads to loss of confidential data as the key is easily hackable because of a single algorithm usage. Diabetes-related complexities incorporate harm to large and little blood vessels. The danger of most diabetes-related inconveniences can be diminished whenever analyzed early. To overcome these two problems this project presents a medical application that analyses a patient’s medical data to give a diagnosis to check if he/she is diabetic with an efficient data security system where two security algorithms will be merged to secure the patient’s medical data stored and accessed in cloud. This research work attempts to provide an effective end to end security for medical applications.