Improving the security framework for privacy in IoT-based health monitoring systems

The Things Internet is the latest development on the web and includes billions of devices belonging to various organizations. One of the widespread applications of the Internet of Things is in the field of health and hygiene, in which the health care of people is remotely using IoT techniques and tools. In web-based information systems, maintaining security requirements is an important challenge. In the health debate, according to the sensitivity of the issue, the challenges of authentication, user privacy, and access control must be addressed. Various security techniques and frameworks have been proposed in this area. But most existing solutions for protecting sensitive information focus on communication channel permissions, and a comprehensive framework has not yet been developed to protect device data after collection, integration, and storage. This paper proposes a comprehensive framework for privacy at the time of collecting data, which will be able to ensure the security and quality of data against malicious attacks. The proposed method is implemented on Mat lab simulator and the results are compared with the latest works that have been done and show that the proposed algorithm has been able to achieve good performance in improving runtime compared to conventional methods.