A Framework for Secure Data Storage and Retrieval in Cloud Environment

  • Mithapalli A
  • et al.
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Plenty of research work is going on for efficient storage, processing, and analysis of large volume of data generated in real time and having varying nature and quality. The most common open-source framework for efficient computation of such large volume of data is Hadoop which processes big data sets by employing clusters of networked computers. On the other hand, cloud computing refers to storage of data and applications in cloud servers and accessing of the data of applications over the Internet following an on demand scheme. So the organizations who want to reduce costs and complexities associated with big data framework, the most suitable option for them is to take help of cloud infrastructure. But one biggest concern in this regard is the security of data and applications in cloud. Though Hadoop provides in-built encryption scheme and secured HTTP protocol, once data and applications are stored in public cloud, they become vulnerable to various security breaches still remain uncontrolled by the cloud service providers giving rise of a feeling of untrust. In this scenario, encrypting sensitive business data before cloud uploading may help in preventing access of data by evil intruders. In this paper, an extension to Hadoop security with respect to shared cloud has been proposed by designing a software framework where files are encrypted before uploading to cloud. Security performance of this framework for securing data in storage as well as in transit has been implemented such that without using the framework retrieval of data is not at all possible. Extra layer of security aided by symmetric key cryptographic technique has been proposed which will enhance the security of customers’ resources along with the present standard security measures of a cloud system. A software system performs symmetric encryption before transmitting a file of any format to cloud. To access this encrypted file, the same software system has to be used to download and decrypt the file. This paper also investigates the performances of most common symmetric key techniques AES, DES and triple DES cryptography with respect to the successful encryption of the customer data. This software framework can be applied to provide an extra security layer at the client’s end for users availing service of the cloud platform.




Mithapalli, A. V., & Joshi, S. S. (2019). A Framework for Secure Data Storage and Retrieval in Cloud Environment. International Journal of Engineering and Advanced Technology, 9(2), 2511–2520. https://doi.org/10.35940/ijeat.b3794.129219

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