Mixed Mode Analytics Architecture for Data Deduplication in Wireless Personal Cloud Computing
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
http://link.springer.com/content/pdf/10.1007/s11277-020-07943-6.pdf
Reference18 articles.
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2. Su, H., Zheng, D., & Zhang, Y. (2017). An efficient and secure deduplication scheme based on rabin fingerprinting in cloud storage. In 2017 IEEE international conference on computational science and engineering (CSE) and IEEE international conference on embedded and ubiquitous computing (EUC). https://doi.org/10.1109/cse-euc.2017.166.
3. Kaur, R., Chana, I., & Bhattacharya, J. (2017). Data deduplication techniques for efficient cloud storage management: A systemaic review. The Journal of Supercomputing, 74(5), 2035–2085. https://doi.org/10.1007/s11227-017-2210-8.
4. Bhalerao, A., & Pawar, A. (2017). A survey: On data deduplication for efficiently utilizing cloud storage for big data backups. In 2017 international conference on trends in electronics and informatics (ICEI). https://doi.org/10.1109/icoei.2017.8300844.
5. Agarwala, A., Singh, P., & Atrey, P. K. (2017). DICE: A dual integrity convergent encryption protocol for client side secure data deduplication. In 2017 IEEE international conference on systems, man, and cybernetics (SMC). https://doi.org/10.1109/smc.2017.8122942.
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