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Data Allocation in the Cloud Using Distributed Accountability

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  • T Sharada
  • Nageswara Rao Jillapalli

Abstract

Now a day's Cloud Computing is the rapid growing technology. Now most of the persons are using Cloud Computing technology .Cloud computing enables highly scalable services to be easily consumed over the Internet on an as-needed basis. A major feature of the cloud services is that users' data are usually processed remotely in unknown machines that users do not own or operate. While enjoying the convenience brought by this new emerging technology, users' fears of losing control of their own data (particularly, financial and health data) can become a significant barrier to the wide adoption of cloud services. To solve the above problem in this paper we provide effective mechanism to using accountability frame work to keep track of the actual usage of the users' data in the cloud. In particular, we propose an object-centered approach that enables enclosing our logging mechanism together with users' data and policies. Accountability is checking of authorization policies and it is important for transparent data access. We provide automatic logging mechanisms using JAR programming which improves security and privacy of data in cloud. To strengthen user's control, we also provide distributed auditing mechanisms. We also provide secure JVM, this secure JVM is provide the high security to the user's or customers. We provide extensive experimental studies that demonstrate the efficiency and effectiveness of the proposed approaches.

Suggested Citation

  • T Sharada & Nageswara Rao Jillapalli, 2017. "Data Allocation in the Cloud Using Distributed Accountability," 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(6), pages 142-148, December.
  • Handle: RePEc:jbh:ijsrcs:v2:y2017:i6:id:hcseit172661
    Note: Article URL: https://ijsrcseit.com/CSEIT172661
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