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Privacy Preserving and Fine-Grained Data Access Control in Cloud Computing

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  • S.Anto
  • S. Vimal
  • V.GuruMahesh

Abstract

To real-time data security for petabytes of data is important for cloud computing. A recent survey on cloud security states that the security of users’ data has the highest priority as well as concern. Therefore, this paper has developed a framework known as Cloud Computing Adoption Framework (CCAF) which has been customized for securing cloud data. CCAF is illustrated by the system design based on the requirements and the implementation demonstrated by the CCAF multi-layered security. Since our Data Center has 10 petabytes of data, there is a huge task to provide real-time protection and quarantine. We use Business Process Modeling Notation (BPMN) to simulate how data is in use. The use of BPMN simulation allows us to evaluate the chosen security performances before actual implementation.

Suggested Citation

  • S.Anto & S. Vimal & V.GuruMahesh, 2017. "Privacy Preserving and Fine-Grained Data Access Control in Cloud Computing," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(2), pages 541-543, April.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i2:id:hcseit1722185
    Note: Article URL: https://ijsrcseit.com/CSEIT1722185
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