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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      1 Jan 2023, Volume 38 Issue 1   
    Article

    1. SECURED ARCHITECTURE FOR BIG DATA STORAGE IN CLOUD COMPUTING ENVIRONMENT
    A. Vineela, N. Kasiviswanath, C.Shoba Bindu
    Journal of Data Acquisition and Processing, 2023, 38 (1): 1578-1591 . 

    Abstract

    Despite the increasing popularity of big data, it has been encountering various security issues and storage limitations. Although the combination of Big Data and cloud computing can help improve storage and security, it is still important to have a secure architecture in place to manage it. The goal of this study is to develop a secure architecture that uses the AROMA algorithm for protecting big data. The proposed solution would provide a secure service for storing big data. It would also address the issue of unauthorized access by cloud service providers. The results of an experiment conducted in Amazon EC2 revealed that the proposed method is more efficient.

    Keyword

    Big Data, Cloud, Security, Encryption, Storage


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ISSN 1004-9037

         

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