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An Effective Non-Commutative Encryption Approach with Optimized Genetic Algorithm for Ensuring Data Protection in Cloud Computing

S. Jerald Nirmal Kumar1,*, S. Ravimaran2, M. M. Gowthul Alam3

1 Anna University, Chennai, 600025, India
2 M.A.M College of Engineering, Trichy, 621105, India
3 Sethu Institute of Technology, Virudhunagar, 626115, India

* Corresponding Author: S. Jerald Nirmal Kumar. Email: email

Computer Modeling in Engineering & Sciences 2020, 125(2), 671-697. https://doi.org/10.32604/cmes.2020.09361

Abstract

Nowadays, succeeding safe communication and protection-sensitive data from unauthorized access above public networks are the main worries in cloud servers. Hence, to secure both data and keys ensuring secured data storage and access, our proposed work designs a Novel Quantum Key Distribution (QKD) relying upon a non-commutative encryption framework. It makes use of a Novel Quantum Key Distribution approach, which guarantees high level secured data transmission. Along with this, a shared secret is generated using Diffie Hellman (DH) to certify secured key generation at reduced time complexity. Moreover, a non-commutative approach is used, which effectively allows the users to store and access the encrypted data into the cloud server. Also, to prevent data loss or corruption caused by the insiders in the cloud, Optimized Genetic Algorithm (OGA) is utilized, which effectively recovers the data and retrieve it if the missed data without loss. It is then followed with the decryption process as if requested by the user. Thus our proposed framework ensures authentication and paves way for secure data access, with enhanced performance and reduced complexities experienced with the prior works.

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Cite This Article

Jerald, S., Ravimaran, S., M., M. (2020). An Effective Non-Commutative Encryption Approach with Optimized Genetic Algorithm for Ensuring Data Protection in Cloud Computing. CMES-Computer Modeling in Engineering & Sciences, 125(2), 671–697.

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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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