Enhanced Elman spike neural network based fractional order discrete Tchebyshev encryption fostered big data analytical method for enhancing cloud data security-Reference-Cited by-同舟云学术

Enhanced Elman spike neural network based fractional order discrete Tchebyshev encryption fostered big data analytical method for enhancing cloud data security

Published:2022-10-03 Issue:2 Volume:29 Page:523-537
ISSN:1022-0038
Container-title:Wireless Networks
language:en
Short-container-title:Wireless Netw

Author:

Balamurugan V.,Karthikeyan R.,Sundaravadivazhagan B.,Cyriac Robin

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s11276-022-03142-2.pdf

Reference35 articles.

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4. Alabdulatif, A., Khalil, I., & Yi, X. (2020). Towards secure big data analytic for cloud-enabled applications with fully homomorphic encryption. Journal of Parallel and Distributed Computing, 137, 192–204.

5. Wen, Y., Liu, J., Dou, W., Xu, X., Cao, B., & Chen, J. (2020). Scheduling workflows with privacy protection constraints for big data applications on cloud. Future Generation Computer Systems, 108, 1084–1091.

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