Abstract
To monitor the patients’ medical status, various algorithms have been developed. Nevertheless, major complications are higher energy consumption along with security. Thus, by utilizing novel Quadratic Interpolation and Roulette Wheel Selection Black Widow Optimization (QIRWS-BWO) and Swapping-centric Advanced Encryption Standard (SAES) methodologies, a Blockchain (BC)-centered security and energy-efficient measure have been proposed in healthcare IoT. Firstly, by utilizing Binary Streebog Hashing Algorithm (BSHA), patients undergo registration together; the hash code will be generated during registration. Then, by employing the Spearman Rho Correlation Coefficient Gaussian Mixture Model (SRCGMM), the patients’ nodes are clustered. Then, by utilizing the QIRWS-BWO, the cluster heads (CHs) are chosen. Afterward, by SAES, the data are encrypted to access the data. The outcomes displayed that when analogized with the prevailing methodologies, the proposed model shows better performance.
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Jani, Y., Raajan, P. (2023). Blockchain-Based Secure and Energy-Efficient Healthcare IoT Using Novel QIRWS-BWO and SAES Techniques. In: Kumar, S., Sharma, H., Balachandran, K., Kim, J.H., Bansal, J.C. (eds) Third Congress on Intelligent Systems. CIS 2022. Lecture Notes in Networks and Systems, vol 613. Springer, Singapore. https://doi.org/10.1007/978-981-19-9379-4_28
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DOI: https://doi.org/10.1007/978-981-19-9379-4_28
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