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A Comparative Study of Secure and Efficient Data Duplication Mechanisms for Cloud-Based IoT Applications

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Proceedings of the 2023 International Conference on Advances in Computing Research (ACR’23) (ACR 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 700))

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Abstract

Cloud-based processes store enormous amounts of data to support several daily applications, especially in intelligent systems and the Industrial Internet of Things (IIoT) applications. The advancement of hosted cloud storage services endorses the productivity of IIoT applications. It is critical to enabling businesses to increase data security, privacy, efficiency, accessibility, and flexibility. There are many concerns for cloud providers, including storage overhead, upload/download bandwidth, and data security and privacy. Utilizing secure data deduplication technology, cloud service providers may maximize their available storage capacity, resulting in effective and secure disk space use. This review focuses on a comparative study of secure data deduplication mechanisms for cloud-based applications, including MD5 and various versions of SHA. These techniques remove duplicate data in different storage levels and enhance users’ data integrity, confidentiality, and privacy protection. It is computationally more efficient than traditional compression methods, which may support IoT applications to manage the exponential growth of their data. We also present an overview and classification of the most recent research on data deduplication based on essential mechanisms.

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Authors and Affiliations

  1. Computer Science Department, Wright State University, Dayton, OH, USA

    Vishnu Vardhan Baligodugula, Fathi Amsaad, Varshitha Vunnam Tadepalli, Vojjala Radhika, Yetukuri Sanjana, Sai Shiva & Supriya Meduri

  2. Department of Information Technology, The Hashemite University, Zarqa, Jordan

    Majdi Maabreh

  3. Computer Science Department, Taibah University, Medina, Saudi Arabia

    Naser Alsaadi

  4. Information Security and Applied Computing, Eastern Michigan University, Ypsilanti, MI, USA

    Omar Darwish

  5. Department of Cybersecurity, IITU, Almaty, Kazakhstan

    Abdul Razaque

  6. Computer Science Department, Jordan University of Science and Technology, 22110, Irbid, Jordan

    Yahya Tashtoush

Authors
  1. Vishnu Vardhan Baligodugula
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  2. Fathi Amsaad
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  3. Varshitha Vunnam Tadepalli
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  4. Vojjala Radhika
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  5. Yetukuri Sanjana
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  6. Sai Shiva
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  7. Supriya Meduri
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  8. Majdi Maabreh
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  9. Naser Alsaadi
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  10. Omar Darwish
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  11. Abdul Razaque
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  12. Yahya Tashtoush
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Corresponding author

Correspondence to Fathi Amsaad .

Editor information

Editors and Affiliations

  1. University of Detroit Mercy, Detroit, MI, USA

    Kevin Daimi

  2. Charles Sturt University, Sydney, NSW, Australia

    Abeer Al Sadoon

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Baligodugula, V.V. et al. (2023). A Comparative Study of Secure and Efficient Data Duplication Mechanisms for Cloud-Based IoT Applications. In: Daimi, K., Al Sadoon, A. (eds) Proceedings of the 2023 International Conference on Advances in Computing Research (ACR’23). ACR 2023. Lecture Notes in Networks and Systems, vol 700. Springer, Cham. https://doi.org/10.1007/978-3-031-33743-7_46

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