Privacy-Preserving of Digital 6G IoT Based Cyber Phycical System in Medical Big-Data Application Using Homomorphic Encryption
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11277-024-11186-0.pdf
Reference21 articles.
1. Gentry, C. (2009).A fully homomorphic encryption scheme. Stanford university.
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3. ElGamal, T. (1985). A public key cryptosystem and a signature scheme based on discrete logarithms. IEEE transactions on information theory, 31(4), 469–472.
4. Zhang, L., Xu, J., Vijayakumar, P., Sharma, P. K., & Ghosh, U. (2022). Homomorphic encryption-based privacy-preserving federated learning in 6G IoT-enabled healthcare system. IEEE Transactions on Network Science and Engineering. https://doi.org/10.1109/TNSE.2022.3185327
5. Wood, A., Najarian, K., & Kahrobaei, D. (2020). Homomorphic encryption for Digital 6G IoT based cyber physical systems in medicine and bioinformatics. ACM Computing Surveys (CSUR), 53(4), 1–35.
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