Modern Lightweight Cryptography for Secured Cloud Data Using Constrained Spherical Scyphozoan Jellyfish Optimizer

Modern Lightweight Cryptography for Secured Cloud Data Using Constrained Spherical Scyphozoan Jellyfish Optimizer
  IJETT-book-cover           
  
© 2025 by IJETT Journal
Volume-73 Issue-4
Year of Publication : 2025
Author : T. Rathi Devi, S. Nallusamy, D. Sobya, P.S. Chakraborty, P. Divya
DOI : 10.14445/22315381/IJETT-V73I4P127

How to Cite?
T. Rathi Devi, S. Nallusamy, D. Sobya, P.S. Chakraborty, P. Divya, "Modern Lightweight Cryptography for Secured Cloud Data Using Constrained Spherical Scyphozoan Jellyfish Optimizer," International Journal of Engineering Trends and Technology, vol. 73, no. 4, pp.322-340, 2025. Crossref, https://doi.org/10.14445/22315381/IJETT-V73I4P127

Abstract
Shared data storage and processing resources are made exclusively available through cloud computing, an internet-based computing model. Processing the gathered data on different cloud providers that have limited computing power has become more and more necessary. The realization of the algorithms for encrypting data in cloud computing must be homomorphic and lightweight, as they cannot handle large amounts of processing. The primary disadvantage is that it requires users and businesses to grant third parties access to their confidential information. A new area of cryptographic study called Lightweight Cryptography (LWC) framework with the generation of an optimized key using Constrained Spherical Scyphozoan Jellyfish-based Dynamic Key (CS2JDK) provides Cryptographic security to optimize the process to ensure security. Where the LWC uses less computational resources like less power consumption, less memory allocation, etc. Controlling the exploration and exploitation search to prevent issues with harmonic convergence or being caught in local optima is its most difficult assignment. The goal is to enhance the ability to be confined into local optima by introducing a new orthogonal learning-based variation of the search optimizer. Integrated encryption routing involves the transfer of compressed data that has been added by this key. Next, data aggregation based on compression is used to lower the data size and, therefore, the transmission cost. The data size reduction can be done by utilizing the enriched Principal Component Analysis (PCA)-based compressing scheme before transmitting data. The compressed data set is much more efficient to transmit. It converts the high-dimensional dataset to the low-dimensional data set. A generated key produced is affixed to the data that the device transmits. The main emphasis of this work is to investigate guaranteed cloud data security and outperform other relevant systems on cloud data using new optimizing techniques.

Keywords
Cloud computing, Lightweight cryptography, Homomorphic encryption, Jellyfish optimizer, Dynamic key generation.

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