An Efficient Provable Massive Data Migration Approach Under Secure Cloud Storage
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5504-2_32
Reference12 articles.
1. Yadala, S., Pundru, C.S.R., Solanki, V.K.: A novel private encryption model in IoT under cloud computing domain. In: the International Conference on Intelligent Systems & Networks, pp. 263–270. Singapore: Springer Nature Singapore (2023)
2. Guo, W., et al.: Outsourced dynamic provable data possession with batch update for secure cloud storage. Futur. Gener. Comput. Syst. 95, 309–322 (2019)
3. Liu, Y., Xiao, S., Wang, H., Wang, X.A.: New provable data transfer from provable data possession and deletion for secure cloud storage. Int. J. Distrib. Sens. Netw. 15(4), 1550147719842493 (2019)
4. Rao, K.R., Prasad, M.L., Kumar, G.R., Natchadalingam, R., Hussain, M.M., Reddy, P.C.S.: Time-series cryptocurrency forecasting using ensemble deep learning. In: 2023 International Conference on Circuit Power and Computing Technologies (ICCPCT), pp. 1446–1451. IEEE (2023)
5. Joshi, K.P., Prasad, M.L., Natchadalingam, R., Reddy, P.C.S., Mukherjee, S., Babu, G.C.: An accurate prediction of coronary heart disease using ensemble algorithms. In: 2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE), pp. 1–5. IEEE (2023)
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