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Ensure Hierarchal Identity Based Data Security in Cloud Environment

Author

Listed:
  • Shweta Kaushik

    (JIIT Noida, Noida, India)

  • Charu Gandhi

    (JIIT Noida, Noida, India)

Abstract

Cloud computing has emerged as a new promising field in the internet. It can be thought as a new architecture for the next generation of IT enterprises. It allows the user to access virtualized resources over the internet which can be dynamically scaled. Here, the owner's data is stored at a distributed data centre, which are responsible for its security constraints such as access control and data transmission to user. As the owner does not have physical access on their own data, the data centres are not trustworthy, this resulted in the cloud data security demand. Today, many cloud service providers (CSPs) are using the asymmetric and public key cryptography (PKG) for authenticating and data security purposes using the digital identity of the user. To this end, this article focuses on cloud data storage and its delivery to authorized user. For this purpose, a hierarchal identity-based cryptography method is used for data security and checking the data integrity, in order to make sure that there is no alteration or modification done by a malicious attacker or CSP for its own benefit.

Suggested Citation

  • Shweta Kaushik & Charu Gandhi, 2019. "Ensure Hierarchal Identity Based Data Security in Cloud Environment," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 9(4), pages 21-36, October.
    • Handle: RePEc:igg:jcac00:v:9:y:2019:i:4:p:21-36
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    Cited by:

    1. Huang, Zhi Meng & Liang, Yan Min, 2020. "Digital protection and inheritance of ancient villages in southwest minority areas under the strategy of rural revitalization," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    2. Jin, Xin & Zuo, Xiangbin & Dong, Xiaoli & Dong, YanJiao & Ding, Huanhuan, 2021. "Analysis of the policy guarantee mechanism of rural infrastructure based on deep learning," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    3. Kumar, Nikhil & Poonia, Vikas & Gupta, B.B. & Goyal, Manish Kumar, 2021. "A novel framework for risk assessment and resilience of critical infrastructure towards climate change," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    4. Islam, Md Rafiqul & Liu, Shaowu & Biddle, Rhys & Razzak, Imran & Wang, Xianzhi & Tilocca, Peter & Xu, Guandong, 2021. "Discovering dynamic adverse behavior of policyholders in the life insurance industry," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    5. Chaudhary, Pooja & Gupta, Brij B. & Chang, Xiaojun & Nedjah, Nadia & Chui, Kwok Tai, 2021. "Enhancing big data security through integrating XSS scanner into fog nodes for SMEs gain," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    6. Pang, Sulin & Xia, Lianhu, 2021. "Automatic classification and identification algorithms for single-environment risk and their application in social changes," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    7. Hinge, Gilbert & Surampalli, Rao Y. & Goyal, Manish Kumar & Gupta, Brij B. & Chang, Xiaojun, 2021. "Soil carbon and its associate resilience using big data analytics: For food Security and environmental management," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    8. Anupama Mishra & Neena Gupta & B. B. Gupta, 2021. "Defense mechanisms against DDoS attack based on entropy in SDN-cloud using POX controller," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 77(1), pages 47-62, May.

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