Dynamic Remote Data Auditing using Privacy Preserving Auditing Protocol in cloud Environment
编号:54 访问权限:仅限参会人 更新:2024-08-08 15:26:51 浏览:304次 拓展类型1

报告开始:暂无开始时间(Asia/Bangkok)

报告时间:暂无持续时间

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摘要
Recently, cloud computing has made it possible for cloud users to secure their data in cloud storage by offering reliable, individualized, and high-quality services. Many commercial organizations currently produce vast amounts of intelligent data, including personal information, financial data, and health records. As a result, the firm is producing more digital data than before. Instead of storing the data locally, they intend to outsource its storage to a cloud environment. However, the data owner's main concern is ensuring the security and integrity of their outsourced data. Our suggested solution views this problem as a difficult undertaking and uses remote data auditing (RDA) to secure outsourced data in a cloud environment. The majority of auditing techniques used to be restricted to static data and did not allow dynamic data. In this research, we suggested a professional RDA method for cloud storage systems that uses the Data Privacy Preserving Protocol. Additionally, the system model of ours is designed to support dynamic data operations in cloud environments. In comparison to current auditing techniques, the experimental result demonstrates that our proposed auditing protocol is both very efficient and secure.
 
关键词
Remote Data Auditing, cloud computing, Privacy preserving protocol, Data integrity
报告人
Raja J
Dynamic Remote Data Singapore institute of Technology

稿件作者
Raja J Singapore institute of Technology
Pravin Kshirsagar J D College of Engineering &Management, Nagpur, INDIA
Vijayan K Sapthagiri NPS University,Bangalore,India
Tan Kuan Tak T Singapore Institute of Technology, Singapore
Sivaneasan A Singapore Institute of Technology
Ramakrishnan M Madurai Kamarajar University, Tamil Nadu, India.
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重要日期
  • 会议日期

    10月24日

    2024

    10月27日

    2024

  • 10月14日 2024

    初稿截稿日期

  • 10月29日 2024

    注册截止日期

  • 10月31日 2024

    报告提交截止日期

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