Abstract
The Internet of Things (IoT) has achieved revolutionary growth during the last decade, with tremendous research happening in its application domains. This growth is largely attributable to the ubiquitous nature of technology. Parallel research and development in wearable devices, telemedicine, and e-healthcare have brought IoT devices and application security in these domains to the thrust areas of research. A growing number of healthcare applications are using IoT devices and other wearable smart devices to gather personal medical data and other information of the patients, but inherited security issues related to IoT devices make these applications vulnerable to potential attacks. It has been observed that most of the terminology related to IoT threats, including spoofing, tampering, repudiation, information disclosure, denial of service, and elevation of privileges are lacunae for IoT-based healthcare applications. Trust establishment is considered the most important parameter by all practicing medical experts, and the above threats cast aspersions on this basic requirement. The recent developments in blockchain technology have made provisions for potential trust establishment in a fairly large number of use cases. The advantage of blockchain in healthcare applications stems from its tamper-resistant nature, that is, impossibility of alterations in published transactions. This chapter first summarizes the potential attacks on IoT sensor-based healthcare systems along with potential security provisions to such applications by using blockchain technology using a deep literature survey. It then proposes a device-independent integrated approach for establishing a trust-based immutable safety model in IoT-based healthcare applications by securing patient data using blockchain.
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Gupta, S., Yadav, B., Gupta, B. (2022). Security of IoT-Based e-Healthcare Applications Using Blockchain. In: Maleh, Y., Tawalbeh, L., Motahhir, S., Hafid, A.S. (eds) Advances in Blockchain Technology for Cyber Physical Systems. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-030-93646-4_4
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