Author : Visrutatma Rao Vallu, Winner Pulakhandam, Archana Chaluvadi and G. Arulkumaran

The integration of Internet of Things (IoT) devices in healthcare systems has significantly enhanced patient monitoring and data collection. However, existing solutions often fail to address critical issues such as scalability, high computational overhead, and inadequate security in resource-constrained environments like IoT devices. This paper proposes a framework designed to ensure the security of healthcare data in cloud systems by integrating IoT devices with advanced encryption techniques. The workflow begins with gathering healthcare data from IoT devices such as wearable health monitors and medical sensors. This collected data is then passed to the IoT Integration block, which ensures smooth communication between the IoT devices and the cloud platform. Following this, the data is encrypted using Blowfish encryption to ensure its confidentiality and security during both transmission and storage. The encrypted data is then sent to Cloud Storage, where it is securely stored in cloud databases. In parallel, Multi-Factor Authentication (MFA) is applied to verify the identity of users before granting access to sensitive data. The performance evaluation of the proposed framework reveals that the average encryption time for a dataset size of 10 arbitrary units is 0.27 seconds, while the maximum latency time is 0.37 seconds. These results demonstrate the efficiency and scalability of the framework, providing a secure and robust solution for managing healthcare data in IoT-enabled environments.

Keywords: IoT (Internet of Things) Integration, Healthcare Data Security, Blowfish Encryption, Multi-Factor Authentication and Cloud Storage.