Enhancing Healthcare Security Using IoT-Enabled with Continuous Authentication Using Deep Learning

The Internet of Things (IoT) has transformed healthcare by providing continuous remote patient health monitoring. Ensuring the security and privacy of patient health data in such IoT-enabled contexts, on the other hand, is a critical concern. This study proposes a unique method for improving IoT-based healthcare security via continuous authentication, utilizing deep learning, especially the Long Short-Term Memory (LSTM) model. The suggested system continually analyzes user behavior and health state, using biometric data to provide seamless and secure authentication. Multiple security credentials, including Personal Identity Number (PIN), password, and biometric identity, are used in the architecture to provide effective protection against unauthorized access attempts. Using Arduino Uno and smart devices, data from a broad array of sensors connected to patients are gathered, and a complete dataset is created for training the LSTM model. The performance of the suggested system is assessed using multiple performance measures such as accuracy, precision, recall, specificity, and the F1-score. The findings show that the model is very accurate and efficient at discriminating between legitimate and unauthorized users. The system consistently outperforms previous research efforts, demonstrating its superiority in predicting authentication answers. Furthermore, continuous authentication enables real-time monitoring and proactive identification of suspicious actions. The scalability, versatility, and open-source characteristics of the proposed technology ensure its use in a variety of healthcare contexts. This study helps improve IoT-enabled healthcare security by building confidence in users and stakeholders and increasing the state-of-the-art in safe and trustworthy healthcare data monitoring in the IoT ecosystem. The suggested paradigm sets the groundwork for future improvements in continuous authentication and healthcare security as the IoT ecosystem grows.