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Cryptographic Lightweight Encryption Algorithm with Dimensionality Reduction in Edge Computing

D. Jerusha*, T. Jaya

CSI Institute of Technology, Nagercoil, India

* Corresponding Author: D. Jerusha. Email: email

Computer Systems Science and Engineering 2022, 42(3), 1121-1132. https://doi.org/10.32604/csse.2022.022997

Abstract

Edge Computing is one of the radically evolving systems through generations as it is able to effectively meet the data saving standards of consumers, providers and the workers. Requisition for Edge Computing based items have been increasing tremendously. Apart from the advantages it holds, there remain lots of objections and restrictions, which hinders it from accomplishing the need of consumers all around the world. Some of the limitations are constraints on computing and hardware, functions and accessibility, remote administration and connectivity. There is also a backlog in security due to its inability to create a trust between devices involved in encryption and decryption. This is because security of data greatly depends upon faster encryption and decryption in order to transfer it. In addition, its devices are considerably exposed to side channel attacks, including Power Analysis attacks that are capable of overturning the process. Constrained space and the ability of it is one of the most challenging tasks. To prevail over from this issue we are proposing a Cryptographic Lightweight Encryption Algorithm with Dimensionality Reduction in Edge Computing. The t-Distributed Stochastic Neighbor Embedding is one of the efficient dimensionality reduction technique that greatly decreases the size of the non-linear data. The three dimensional image data obtained from the system, which are connected with it, are dimensionally reduced, and then lightweight encryption algorithm is employed. Hence, the security backlog can be solved effectively using this method.

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Cite This Article

APA Style
Jerusha, D., Jaya, T. (2022). Cryptographic lightweight encryption algorithm with dimensionality reduction in edge computing. Computer Systems Science and Engineering, 42(3), 1121-1132. https://doi.org/10.32604/csse.2022.022997
Vancouver Style
Jerusha D, Jaya T. Cryptographic lightweight encryption algorithm with dimensionality reduction in edge computing. Comput Syst Sci Eng. 2022;42(3):1121-1132 https://doi.org/10.32604/csse.2022.022997
IEEE Style
D. Jerusha and T. Jaya, "Cryptographic Lightweight Encryption Algorithm with Dimensionality Reduction in Edge Computing," Comput. Syst. Sci. Eng., vol. 42, no. 3, pp. 1121-1132. 2022. https://doi.org/10.32604/csse.2022.022997



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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