Abstract
The advancement of the Internet of Things (IoT) has enabled the deployment of health monitoring systems in various healthcare settings. However, the large-scale adoption of IoT-based health monitoring systems has raised concerns regarding privacy and security. The distributed nature of IoT devices makes them vulnerable to unauthorized access, cyberattacks, and data breaches. Therefore, there is a need for a secure and efficient mechanism to protect sensitive healthcare data in IoT-based health monitoring systems. This paper proposes a distributed ledger technology (DLT)-based solution for enhancing privacy and security in IoT-based health monitoring systems. DLT provides a tamper-evident and decentralized framework for storing and sharing data, thereby ensuring data integrity, confidentiality, and availability. The proposed solution also incorporates encryption techniques to safe transmission of sensitive information and storage. The system’s performance is evaluated in terms of latency, throughput, and security using the Hyperledger Caliper benchmarking tool. The results of the evaluation demonstrate that the proposed solution provides a secure and efficient mechanism for health data exchange in IoT-based health monitoring systems. The proposed solution provides granular access control and data privacy, making it suitable for deployment in sensitive healthcare environments. This paper presents an efficient approach for enhancing privacy and security in IoT-based health monitoring systems using distributed ledger technology. The proposed solution provides a secure and efficient mechanism for health data exchange, which can be deployed in various healthcare settings to improve patient outcomes while protecting patient privacy and security.
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Singh, R., Baig, M.M., Sonekar, S.V., Sawwashere, S. (2024). Enhancing Privacy and Security in IoT-Based Health Monitoring Systems Using Distributed Ledger Technology. In: Chakravarthy, V.V.S.S.S., Bhateja, V., Anguera, J., Urooj, S., Ghosh, A. (eds) Advances in Microelectronics, Embedded Systems and IoT. ICMEET 2023. Lecture Notes in Electrical Engineering, vol 1156. Springer, Singapore. https://doi.org/10.1007/978-981-97-0767-6_38
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