Vigneswaran, Moorthy (2024) Enhancing IoT Healthcare Security: A Blockchain and AES-Based Framework for Secure Data Transmission and Management. Masters thesis, Dublin, National College of Ireland.
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Abstract
The increasing trend of Internet of Things (IoT) in healthcare systems has brought up many concerns related to data security and privacy. The existing approaches suffer from efficiency, scalability, and proper protection against unauthorized access. This paper introduces an advanced framework that combines blockchain technology with AES-256 encryption and the MIDC (Monitoring, Integrity, Data Control) framework to address these challenges. The key goals of the framework are to increase data security, integrity, reduce unauthorized access, and automate the access control process using smart contracts. The model is compliant with the regulations of GDPR and HIPAA, thereby meeting the requirements of data privacy standards. The proposed system was compared with the existing encryption techniques and showed superior performance in terms of reducing the encryption time to 3.0 seconds, decryption time to 2.8 seconds, and buffer time to 0.140 MB. These results indicate the efficiency of the model in processing IoT healthcare data, which is better in terms of speed and resource utilization than traditional AES-256 and hybrid encryption models. The smart contracts enable role-based access control, making it easier to manage data-sharing policies and ensuring safe, automated access to data. Despite its promising performance, one challenge remains in the energy optimization of blockchain-based systems with regard to scalability and sustainability. Future work will go towards this challenge in such a way that further optimization of the model will be performed not at the cost of the security. This framework gives rise to a robust solution to securing the IoT healthcare systems with many great benefits in real-world applications, primarily in resource-constrained environments such as healthcare IoT devices.
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