Design and Implementation of Data-at-Rest Encryption for Hadoop

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    The manuscript should contain an abstract. The security aspects in Cloud computing is paramount in order to ensure high quality of Service Level Agreement (SLA) to the cloud computing customers. This issue is more apparent when very large amount of data is involved in this emerging computing environment. Hadoop is an open source software framework that supports large data sets storage and processing in a distributed computing environment and well-known implementation of Map Reduce. Map Reduce is one common programming model to process and handle a large amount of data, specifically in big data analysis. Further, Hadoop Distributed File System (HDFS) is a distributed, scalable and portable file system that is written in java for Hadoop framework. However, the main problem is that the data at rest is not secure where intruders can steal or converts the data stored in this computing environment. Therefore, the AES encryption algorithm has been implemented in HDFS to ensure the security of data stored in HDFS. It is shown that the implementation of AES encryption algorithm is capable to secure data stored in HDFS to some extent.   

     

     


  • Keywords


    Encryption; Hadoop; Map-Reduce; Cloud Computing.

  • References


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      [7] Microsoft [Online] Available: https://msdn.microsoft.com/enus/library/windows/desktop/aa381939(v=vs.85).asp

      [8] Cohen, J., & Acharya, S. (2013, December). Towards a trusted hadoop storage platform: Design considerations of an aes based encryption scheme with tpm rooted key protections. In Ubiquitous Intelligence and Computing, 2013 IEEE 10th International Conference on and 10th International Conference on Autonomic and Trusted Computing (UIC/ATC) (pp. 444-451). IEEE.

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Article ID: 11212
 
DOI: 10.14419/ijet.v7i2.15.11212




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