Real Medical Data Processing and Prediction of Early Disease Using Sensors, Internet of Things (IoT) and R Programming Techniques

Abstract

With the recognition of wearable devices, along with the development of clouds and cloudlet technology, there has been increasing got to give higher treatment. The process chain of medical knowledge chiefly includes knowledge assortment, data storage and knowledge sharing, etc. ancient tending system often needs the delivery of medical knowledge to the cloud, which involves users sensitive info and causes communication energy consumption much, medical knowledge sharing could be a vital and difficult issue therefore during this paper, we tend to build up a completely unique healthcare system by utilizing the exibility of cloudlet. The functions of cloudlet embody privacy protection, knowledge sharing and intrusion detection within the stage of information assortment, we RST utilize range Theory analysis Unit (NTRU) methodology to encrypt users body knowledge collected by wearable devices. Firstly, those data are going to be transmitted to close cloudlet in AN energy efficient fashion. Secondly, we tend to gift a replacement trust model to assist users to select trustable partners UN agency need to share hold on knowledge in the cloudlet. The trust model conjointly helps similar patients to communicate with one another concerning their diseases. Thirdly, we divide users medical knowledge hold on in remote cloud of hospital into 3 elements, and provides them correct protection. Finally, in order to guard the tending system from malicious attacks, we develop a completely unique cooperative intrusion detection system (IDS) method supported cloudlet mesh, which may effectively forestall the remote tending massive knowledge cloud from attacks. Our experiments demonstrate the effectiveness of the projected theme. Index terms privacy protection, knowledge sharing, cooperative intrusion detection system (IDS), healthcare.