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.

中文翻译：

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物联网启用癌症预测系统，利用云计算增强身份验证和安全性


近年来，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。这些技术被广泛应用于医疗保健系统、交通系统、农业和智慧城市等各个领域，为解决当今环境中的许多问题产生了丰硕的成果。这项研究工作重点关注物联网和云计算领域的此类应用。人体中部署更多数量的传感器用于收集患者相关数据，例如体温偏差等，从而导致血细胞发生变化，从而变成癌细胞。这项工作的主要目的是设计一个利用物联网的癌症预测系统，通过提取血液结果的详细信息来测试其是否正常或异常。除此之外，对癌症患者的血液结果进行加密，并将其存储在云端，以便通过互联网快速参考，以便医生或保健护士秘密处理患者数据。这项研究工作的重点是增强医疗保健计算和处理。它提供了一个框架来提高全球现有医疗保健行业的绩效。由于整个医疗数据必须保存在云端，因此可以克服传统医疗的局限性。使用 AES 算法进行加密和解密，以便在处理癌症患者时提供身份验证和安全性。主要重点是当患者远离家乡时，有效地处理他们的医疗数据，因为所需的癌症治疗详细信息存储在云端。 通过使用虚拟机，任务完成时间从 400 大大减少到 160。 CloudSim 提供了一种适应性强的模拟结构，可以显示和重现结果。