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

机译：IOT使癌症预测系统能够使用云计算来增强身份验证和安全性

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摘要

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.
机译：最近几天，物联网，云计算，深度学习，机器学习和人工智能被认为是解决各种现实世界问题的新兴技术。这些技术主要应用于各种领域，例如医疗保健系统，运输系统，农业和智能城市，为当今环境中的问题数量产生富有成效的结果。该研究工作侧重于与云计算在一起的一个这样的应用。更多在人体中部署的传感器的数量用于收集患者相关数据，例如体温偏差，其他数据以及其他导致血细胞变化的变化，这些细胞转身为癌细胞。这项工作的主要目的是在提取血液结果的细节时使用物联网设计癌症预测系统，以测试它是否正常或异常。除此之外，加密是在癌症受影响的患者的血液结果上完成的，并将其存储在云中，以便通过互联网进行快速参考医生或医疗保健护士秘密处理患者数据。本研究工作专注于提高医疗保健计算和处理。它提供了一个框架，以提高全球现有医疗行业的性能。随着整个医疗数据必须在云中保存，可以克服传统的医疗限制。使用AES算法进行加密和解密，以便在处理癌症患者方面提供认证和安全性。主要焦点是在患者远离家乡时，为患者有效处理医疗保健数据，因为所需的癌症处理细节储存在云中。任务完成时间通过使用VM大大减少400到160。 CloudSim提供了一种适应性的模拟结构，使得赋予显示和再现结果。

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