Abstract
In healthcare environments, edge computing has emerged as a significant tool for providing real-time data processing and analysis. Yet, due to the sensitive nature of healthcare data, sophisticated security measures, including encryption methods, are required. While encryption techniques provide high-level security, they can also be computationally demanding and have an influence on edge device performance. As a result, this research study provides a survey of the literature on strategies for improving encryption algorithms in edge computing for smart hospitals. The research evaluates the performance of numerous encryption methods, including AES, DES, RSA, ECC, and HE, in edge computing. The research also looks at optimization strategies such protocol optimization, hardware acceleration, and cloud-assisted encryption. This paper’s results will be valuable for healthcare companies trying to utilize edge computing technologies while guaranteeing patient data security and privacy.
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Peshane, V.V., Baig, M.M., Sonekar, S.V., Sawwashere, S. (2024). Technique for Optimizing Encryption Algorithms in Edge Computing for Smart Hospital. 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_39
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DOI: https://doi.org/10.1007/978-981-97-0767-6_39
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