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<p>Big data is currently dealing with several issues, including data theft, illegal access, and storage. The development of big data security in storage systems is the focus of numerous studies. This research provides a unique Feistel-assisted Serpent encryption (F-SE) approach to massive data storage in multi-cloud storage, which aims to address the aforementioned problem. The user may maintain data across multiple cloud storage providers due to the multi-cloud storage environment. The purpose of this study is to construct a secure structure that limits insider attacks. Data submission, encryption, dissemination, and decryption are all included in the suggested F-SE mechanism. Additionally, the suggested model secures huge data before keeping it in several clouds. Cloud storage environments that are updated in real time are used for the simulation study. The outcomes demonstrated the suggested F-SE model’s effectiveness over the current approaches.</p>

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Enhancing multi-cloud security: novel method for big data storage

  • 期刊论文

  • 发表日期：

    2025年1月27日

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  • Preethi,
  • Sover Singh Bisht,
  • Danish Kundra,
  • Harsimrat Kandhari,
  • Poonam Singh,
  • Harshita Kaushik

摘要

Big data is currently dealing with several issues, including data theft, illegal access, and storage. The development of big data security in storage systems is the focus of numerous studies. This research provides a unique Feistel-assisted Serpent encryption (F-SE) approach to massive data storage in multi-cloud storage, which aims to address the aforementioned problem. The user may maintain data across multiple cloud storage providers due to the multi-cloud storage environment. The purpose of this study is to construct a secure structure that limits insider attacks. Data submission, encryption, dissemination, and decryption are all included in the suggested F-SE mechanism. Additionally, the suggested model secures huge data before keeping it in several clouds. Cloud storage environments that are updated in real time are used for the simulation study. The outcomes demonstrated the suggested F-SE model’s effectiveness over the current approaches.