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Secure NoSQL for the Social Networking and E-Commerce Based Bigdata Applications Deployed in Cloud

Author

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  • Sangeeta Gupta

    (JNTU Kakinada, Hyderabad, India)

  • Narsimha Gugulothu

    (JNTUH, Hyderabad, India)

Abstract

The work presented in this article brings into light the security issues with NoSQL databases- MongoDB, HBase and Cassandra. A literature survey is carried out to identify the modern world scenarios of the applications using NoSQL databases and limitations are identified. A solution is proposed by designing a framework to achieve security for the web crawler applications using Cassandra, a NoSQL data store. Experimental results are presented to show the effectiveness of the work by designing an appropriate algorithm to trigger security for scalable web crawler architecture. Amazon Web Services (AWS), a familiar cloud platform, and bitnami cloud hosting services are used to procure the required servers and virtual machines. Performance changes on the virtual machines are brought into consideration before and after encrypting and decrypting the voluminous data and an improvement in efficiency is observed with the proposed model.

Suggested Citation

  • Sangeeta Gupta & Narsimha Gugulothu, 2018. "Secure NoSQL for the Social Networking and E-Commerce Based Bigdata Applications Deployed in Cloud," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 8(2), pages 113-129, April.
  • Handle: RePEc:igg:jcac00:v:8:y:2018:i:2:p:113-129
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    Cited by:

    1. San Martín, Jesús & Drubi, Fátima & Rodríguez Pérez, Daniel, 2020. "Uncritical polarized groups: The impact of spreading fake news as fact in social networks," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 178(C), pages 192-206.
    2. Yu, Hongxin & Zhao, Yuanjun & Liu, Zheng & Liu, Wei & Zhang, Shuai & Wang, Fatao & Shi, Lihua, 2021. "Research on the financing income of supply chains based on an E-commerce platform," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    3. Yaxuan Liu, 2021. "Developing the network social media in graphic design based on artificial neural network," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(4), pages 640-653, August.
    4. Liu, Zhi-Jiang & Chernov, Sergei & Mikhaylova, Anna V., 2021. "Trust management and benefits of vehicular social networking: An approach to verification and safety," Technological Forecasting and Social Change, Elsevier, vol. 166(C).

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