IoT enabled cancer prediction system to enhance the authentication and security using cloud computing

Abstract

In recent days, Internet of Things, Cloud Computing, Deep learning, Machine learning and Artificial Intelligence are considered to be an emerging technologies to solve variety of real world problems. These techniques are importantly applied in various fields such as healthcare systems, transportation systems, agriculture and smart cities to produce fruitful results for number of issues in today's environment. This research work focuses on one such application in the field of IoT together with cloud computing. More number of sensors that are deployed in human body is used to collect patient related data such as deviation in body temperature and others which leads to variation in blood cells that turned to be cancerous cells. Main intention of this work is design a cancer prediction system using Internet of Things upon extracting the details of blood results to test whether it is normal or abnormal. In addition to this, encryption is done on the blood results of cancer affected patient and store it in cloud for quick reference through Internet for the doctor or healthcare nurse to handle the patient data secretly. This research work concentrates on enhancing the health care computations and processing. It provides a framework to enhance the performance of the existing health care industry across the globe. As the entire medical data has to be saved in cloud, the traditional medical treatment limitations can be overcome. Encryption and decryption is done using AES algorithm in order to provide authentication and security in handling cancer patients. The main focus is to handle healthcare data effectively for the patient when they are away from the home town since the needed cancer treatment details are stored in cloud. The task completion time is greatly reduce from 400 to 160 by using VMs. CloudSim gives an adaptable simulation structure that empowers displaying and reproduced results.