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JAIT 2023 Vol.14(1): 130-137
doi: 10.12720/jait.14.1.130-137

Ensuring Cloud Data Security Using the Soldier Ant Algorithm

John Kwao Dawson*, Ben Beklisi Kwame Ayawli, Sylvester Agyemang, Philemon Baah, and Samuel Akyeramfo-Sam
Sunyani Technical University, Sunyani, Ghana
*Correspondence: Kwaodawson@stu.edu.gh, kwaodawson1@yahoo.com

Manuscript received June 14, 2022; revised August 12, 20232; accepted October 11, 2022; published February 23, 2023.

Abstract—Cloud computing is evolving as a firsthand archetype of large-scale distributed computing which adds more power to internet technologies. It is a framework aiming at convenient and on-request network access to an organized and shared pool of resources. Security of data transmitted and stored by a third party happens to be the greatest challenge for organizations embracing the technology. In this work, a proposed hybrid algorithm dubbed the Soldier Ant Algorithm (SAA) a blend of the Diffie-Hellman algorithm and Delta Encoding technique (Newton Forward and Backward Interpolation). The motivation obtained is the integration of algorithms for cryptography purposes. The integration makes the proposed SAA algorithm symmetric and also makes the Diffie-Hellman algorithm withstand security threats such as man-in-the-middle attacks. The proposed algorithm establishes a secured connection between the cloud client and the cloud service provider and at the same time secures the data sent to the cloud. A comparative analysis was performed against RSA and ElGamal and indicated that the proposed algorithms’ encryption and decryption time were lower even though it is linear (O(n)).
Keywords—Diffie-Hellman, delta encoding, data in transmission, dictionary attack, soldier ant algorithm

Cite: John Kwao Dawson, Ben Beklisi Kwame Ayawli, Sylvester Agyemang, Philemon Baah, and Samuel Akyeramfo-Sam, "Ensuring Cloud Data Security Using the Soldier Ant Algorithm," Journal of Advances in Information Technology, Vol. 14, No. 1, pp. 130-137, February 2023.

Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.