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Data Integrity and Security in Distributed Cloud Computing—A Review

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Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1245))

Abstract

Data storage of cloud services has increased rates of acceptance due to their flexibility and the concern of the security and confidentiality levels. Many of the integrity and security problems raised based on the differences between client and service provider for resolution of third-party auditor. This review paper gives a brief view of current data integrity and security issues in the distributed cloud computing environment. The paper compared eight different models of the cloud data integrity and security. It highlights nearly solutions for some of the current cloud security risks and challenges by summarizing the key schemes of the privacy-preserving public auditing, particularly access control, attribute-based access control, and public key encryption. Moreover, the paper assigning the existing models, algorithms, and methodologies of data integrity and security had done in the literature of distributed cloud security. It suggested further research in cloud security domain regarding many of the security and data integrity issues.

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Authors and Affiliations

  1. University of Science and Technology, Sana’a, Yemen

    Abdullatif Ghallab & Abdulqader Mohsen

  2. University of Science and Technology, Taiz, Yemen

    Mohammed H. Saif

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  1. Abdullatif Ghallab
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  2. Mohammed H. Saif
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  3. Abdulqader Mohsen
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Correspondence to Abdullatif Ghallab .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, CMR Institute of Technology, Hyderabad, India

    Vinit Kumar Gunjan

  2. Department of Electrical and Computer Engineering, University of Louisville, Louisville, KY, USA

    Jacek M. Zurada

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Ghallab, A., Saif, M.H., Mohsen, A. (2021). Data Integrity and Security in Distributed Cloud Computing—A Review. In: Gunjan, V.K., Zurada, J.M. (eds) Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications. Advances in Intelligent Systems and Computing, vol 1245. Springer, Singapore. https://doi.org/10.1007/978-981-15-7234-0_73

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