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Improved End-to-End Data Security Approach for Cloud Computing

Author

Listed:
  • Soumalya Ghosh

    (Department of Computer Science, Galgotias University, Greater Noida 203201, UP, India)

  • Shiv Kumar Verma

    (Department of Computer Science, Galgotias University, Greater Noida 203201, UP, India)

  • Uttam Ghosh

    (Department of Computer Science and Data Science, Meharry Medical College, Nashville, TN 37208, USA)

  • Mohammed Al-Numay

    (Electrical Engineering Department, College of Engineering, King Saud University, Riyadh 11451, Saudi Arabia)

Abstract

Cloud computing is one of the major cutting-edge technologies that is growing at a gigantic rate to redefine computation through service-oriented computing. It has addressed the issue of owning and managing computational infrastructure by providing service through a pay-and-use model. However, a major possible hindrance is security breaches, especially when the sender uploads or the receiver downloads the data from a remotely accessed server. It is a very generic approach to ensuring data security through different encryption techniques, but it might not be able to maintain the security standard. This paper proposes an end-to-end data security approach from the sender side to the receiver side by adding extra padding sequences, as well as randomized salting, followed by hashing and an encryption technique. The effectiveness of the proposed method was established using both a simulated system and mathematical formulations with different performance metrics. Furthermore, its performance was compared with those of contemporary algorithms, showing that the proposed algorithm creates a larger ciphertext that is almost impossible to crack due to randomization modules. However, it has significantly longer encryption and decryption times, although our primary concern is ensuring security, not reducing time.

Suggested Citation

  • Soumalya Ghosh & Shiv Kumar Verma & Uttam Ghosh & Mohammed Al-Numay, 2023. "Improved End-to-End Data Security Approach for Cloud Computing," Sustainability, MDPI, vol. 15(22), pages 1-15, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:22:p:16010-:d:1281562
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    References listed on IDEAS

    as
    1. Robert J. Kauffman & Dan Ma & Martin Yu, 2018. "A metrics suite of cloud computing adoption readiness," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(1), pages 11-37, February.
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