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Research Article | Open Access |

A User-Based Trust Model for Cloud Computing Environment

Author 1: Othman Saeed Author 2: Riaz Ahmed Shaikh
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 3 · Published 2018 · Cited by 15

DOI: 10.14569/IJACSA.2018.090347

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Abstract

There are many trust management models for the cloud environment. Selecting an appropriate trust model is not an easy job for a user. This work presents a new trust model called ARICA model which help a user to reduce the reliance on the trust value of provider and third-party feedback. Simultaneously, the ARICA model increases the dependence on the user trust value. Furthermore, the proposed model measured the trust based on five attributes: Availability, Reliability, Integrity, Confidentiality, and Authentication. This paper presents the comparison of the proposed ARICA trust model with two existing schemes. Results show that the proposed model provides better accurate results.

Keywords

Trust management model trust value of provider feedback trust value of third-party feedback user trust value availability reliability integrity confidential authentication

How to Cite this Article

Saeed, O., & Shaikh, R. A. (2018). A User-Based Trust Model for Cloud Computing Environment. International Journal of Advanced Computer Science and Applications, 9(3). https://doi.org/10.14569/IJACSA.2018.090347

Saeed, Othman, and Riaz Ahmed Shaikh. "A User-Based Trust Model for Cloud Computing Environment." International Journal of Advanced Computer Science and Applications, vol. 9, no. 3, 2018, https://doi.org/10.14569/IJACSA.2018.090347.

@article{Saeed2018,
  title     = {A User-Based Trust Model for Cloud Computing Environment},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {3},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Othman Saeed and Riaz Ahmed Shaikh},
  doi       = {10.14569/IJACSA.2018.090347},
  url       = {https://doi.org/10.14569/IJACSA.2018.090347}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

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Volume 17 No. 11, November 2026
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