ElGamal algorithm with hyperchaotic sequence to enhance security of cloud data
International Journal of Pervasive Computing and Communications
ISSN: 1742-7371
Article publication date: 13 October 2022
Abstract
Purpose
In the cloud-computing environment, privacy preservation and enabling security to the cloud data is a crucial and demanding task. In both the commercial and academic world, the privacy of important and sensitive data needs to be safeguarded from unauthorized users to improve its security. Therefore, several key generations, encryption and decryption algorithms are developed for data privacy preservation in the cloud environment. Still, the outsourced data remains with the problems like minimum data security, time consumption and increased computational complexity. The purpose of this research study is to develop an effective cryptosystem algorithm to secure the outsourced data with minimum computational complexity.
Design/methodology/approach
A new cryptosystem algorithm is proposed in this paper to address the above-mentioned concerns. The introduced cryptosystem algorithm has combined the ElGamal algorithm and hyperchaotic sequence, which effectively encrypts the outsourced data and diminishes the computational complexity of the system.
Findings
In the resulting section, the proposed improved ElGamal cryptosystem (IEC) algorithm performance is validated using the performance metrics like encryption time, execution time, decryption time and key generation comparison time. The IEC algorithm approximately reduced 0.08–1.786 ms of encryption and decryption time compared to the existing model: secure data deletion and verification.
Originality/value
The IEC algorithm significantly enhances the data security in cloud environments by increasing the power of key pairs. In this manuscript, the conventional ElGamal algorithm is integrated with the pseudorandom sequences for a pseudorandom key generation for improving the outsourced cloud data security.
Keywords
Acknowledgements
This work was supported by the National Nature Science Foundation under Grant No. 405.
Author contributions: The paper conceptualization, methodology, software, validation, formal analysis, investigation, resources, data curation, writing – original draft preparation, writing – review and editing and visualization have been done by the first author. The supervision and project administration have been done by the second author.
Conflicts of interest: The authors declare no conflict of interest.
Citation
Koppaka, A.K. and Lakshmi, V.N. (2022), "ElGamal algorithm with hyperchaotic sequence to enhance security of cloud data", International Journal of Pervasive Computing and Communications, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJPCC-06-2022-0240
Publisher
:Emerald Publishing Limited
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