Leveraging Internet of Things (IoT) for Healthcare Monitoring and Cloud Integration

Abstract

The integration of Internet of Things (IoT) devices in healthcare systems has significantly improved patient monitoring by enabling the continuous collection of health data. This study outlines a secure workflow for healthcare data management, focusing on the collection of data from IoT devices, its encryption using AES (Advanced Encryption Standard) encryption, and subsequent storage in cloud storage for analysis and further processing. Initially, healthcare data is continuously collected from IoT devices, such as wearable sensors and medical equipment, capturing key patient parameters. To ensure the confidentiality and security of this sensitive data, AES encryption is applied before transmission, ensuring robust protection against unauthorized access. The encrypted data is then securely stored in cloud storage, enabling scalable and efficient data management. Cloud-based computational resources and machine learning techniques are leveraged for further analysis, providing insights and decision support for healthcare providers. This approach emphasizes the importance of data security in IoT-based healthcare systems and demonstrates the potential for secure cloud storage to improve healthcare delivery.