Internet of Things and Cloud Computing

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Reputation Based Trust Model in Cloud Computing

Received: 04 July 2017    Accepted: 05 July 2017    Published: 25 August 2017
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Abstract

Cloud computing offers cost-effective dynamic, scalable and shared services for enterprises from remote data centre. The data stored in cloud storage is increasing day by day dramatically. Though the problem of trusting cloud computing is a highest concern for most enterprises in such a way that trust is widely regarded as one of the top obstacles for the adoption and growth of cloud computing. So there is a need of trust model which help cloud consumers to find the provider that best satisfies their trust concerns in cloud computing by measuring the trustworthiness of Cloud Service Provider (CSP). In this paper we propose a reputation based trust model which will evaluate the reputation of service provider by using a trust evaluation algorithm that will take customers feedback, server rejection rate and server workload into consideration. The experiments show that the trust result is more efficient.

DOI 10.11648/j.iotcc.s.2017050501.12
Published in Internet of Things and Cloud Computing (Volume 5, Issue 5-1, September 2017)

This article belongs to the Special Issue Advances in Cloud and Internet of Things

Page(s) 5-12
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Cloud Computing, Feedback, Trust, Trust Evaluation

References
[1] Mahantesh N. Birje, Praveen S. Challagidad et al., “Cloud computing review: concepts, technology, challenges and security”, International Journal of Cloud Computing, Volume 6, Issue 1, 2017.
[2] P. S. Challagidad, M. N. Birje, “Hierarchical Attribute-based Access Control with Delegation Approach in Cloud”, Proceedings of the 11th INDIACom; INDIACom-2017; IEEE Conference ID: 40353 2017 4th International Conference on Computing for Sustainable Global Development, 2017.
[3] Manisha Sinha et al., “Trust based Mechanism for Secure Cloud Computing Environment: A Survey”, International Journal of Engineering Science Invention, 2016.
[4] LI Jun-Jian et al., “User’s Behavior Trust Evaluate Algorithm Based On Cloud Model”, Fifth International Conference on Instrumentation and Measurement, Computer, Communication and Control, 2015.
[5] Akinwale et al., “Trust: A Requirement for Cloud Technology Adoption”, (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 6, No. 8, 2015.
[6] Shivani Taneja, Kavita Rathi, “A Trust Evaluation Model to Recommend a Service Provider to a Customer in Cloud Environment”, International Journal of Computer Applications, Volume 121 – No. 2, 2015.
[7] Talal H. Noor et al., “Cloud Armor: Supporting Reputation-based Trust Management for Cloud Services”, IEEE Transactions on Parallel and Distributed Systems, Vol. 0, No. 0, 2015.
[8] Xiaolan Xie et al., “Trust Management Model of Cloud Computing Based on Multi-agent”, International Conference on Network and Information Systems for Computers, 2015.
[9] Ali. Mohsenzadeh, “Trust Model to Enhance Security of Cloud Computing”, Journal of mathematics and computer science 14, 2015.
[10] M. N. Birje, P. S. Challagidad, “Security Issues and Countermeasures in Cloud Computing”, International Journal of Applied Engineering Research, ISSN 0973-4562 Vol. 10, No. 86, 2015.
[11] Shyamlal Kumawat, Deepak Tomar, “SLA-Aware Trust Model Cloud Service Deployment”, International Journal of Computer Applications, Volume 90 – No 10, 2014.
[12] Qingtao Wu et al., “Reputation Revision Method for Selecting Cloud Services Based on Prior Knowledge and a Market Mechanism”, Scientific World Journal Volume 2014, Article ID 617087, 2014.
[13] Wanga et al., “An Accurate and Multi-faceted Reputation Scheme for Cloud Computing”, The 11th International Conference on Mobile Systems and Pervasive Computing, 2014.
[14] Syed Rizvi et al., “A Centralized Trust Model Approach for Cloud Computing”, 978-1-4799-5249-6/14/$31.00 © IEEE, 2014.
[15] Rama Krishna Kalluri, Dr. C. V. Guru Rao, “Addressing the Security, Privacy and Trust Challenges of Cloud Computing”, International Journal of Computer Science and Information Technologies, Vol. 5, 2014.
[16] Shakeel Ahmad et al., “Trust Model: Cloud’s Provider and Cloud’s User” International Journal of Advanced Science and Technology, Vol. 44, 2012.
[17] Jemal Abawajy, “Establishing Trust in Hybrid Cloud Computing Environments”, International Joint Conference of IEEE TrustCom-11/IEEE ICESS-11/FCST-11, 2011.
Author Information
  • Department of Computer Science and Engineering, Basaveshwar Engineering College (Autonomus), Bagalkot, India

  • Department of Computer Science and Engineering, Basaveshwar Engineering College (Autonomus), Bagalkot, India

  • Center for Post Graduate Studies, Visvesvaraya Technological University (VTU), Belagavi, India

Cite This Article
  • APA Style

    Praveen S. Challagidad, Vani S. Reshmi, Mahantesh N. Birje. (2017). Reputation Based Trust Model in Cloud Computing. Internet of Things and Cloud Computing, 5(5-1), 5-12. https://doi.org/10.11648/j.iotcc.s.2017050501.12

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    ACS Style

    Praveen S. Challagidad; Vani S. Reshmi; Mahantesh N. Birje. Reputation Based Trust Model in Cloud Computing. Internet Things Cloud Comput. 2017, 5(5-1), 5-12. doi: 10.11648/j.iotcc.s.2017050501.12

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    AMA Style

    Praveen S. Challagidad, Vani S. Reshmi, Mahantesh N. Birje. Reputation Based Trust Model in Cloud Computing. Internet Things Cloud Comput. 2017;5(5-1):5-12. doi: 10.11648/j.iotcc.s.2017050501.12

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  • @article{10.11648/j.iotcc.s.2017050501.12,
      author = {Praveen S. Challagidad and Vani S. Reshmi and Mahantesh N. Birje},
      title = {Reputation Based Trust Model in Cloud Computing},
      journal = {Internet of Things and Cloud Computing},
      volume = {5},
      number = {5-1},
      pages = {5-12},
      doi = {10.11648/j.iotcc.s.2017050501.12},
      url = {https://doi.org/10.11648/j.iotcc.s.2017050501.12},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.iotcc.s.2017050501.12},
      abstract = {Cloud computing offers cost-effective dynamic, scalable and shared services for enterprises from remote data centre. The data stored in cloud storage is increasing day by day dramatically. Though the problem of trusting cloud computing is a highest concern for most enterprises in such a way that trust is widely regarded as one of the top obstacles for the adoption and growth of cloud computing. So there is a need of trust model which help cloud consumers to find the provider that best satisfies their trust concerns in cloud computing by measuring the trustworthiness of Cloud Service Provider (CSP). In this paper we propose a reputation based trust model which will evaluate the reputation of service provider by using a trust evaluation algorithm that will take customers feedback, server rejection rate and server workload into consideration. The experiments show that the trust result is more efficient.},
     year = {2017}
    }
    

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    T1  - Reputation Based Trust Model in Cloud Computing
    AU  - Praveen S. Challagidad
    AU  - Vani S. Reshmi
    AU  - Mahantesh N. Birje
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    AB  - Cloud computing offers cost-effective dynamic, scalable and shared services for enterprises from remote data centre. The data stored in cloud storage is increasing day by day dramatically. Though the problem of trusting cloud computing is a highest concern for most enterprises in such a way that trust is widely regarded as one of the top obstacles for the adoption and growth of cloud computing. So there is a need of trust model which help cloud consumers to find the provider that best satisfies their trust concerns in cloud computing by measuring the trustworthiness of Cloud Service Provider (CSP). In this paper we propose a reputation based trust model which will evaluate the reputation of service provider by using a trust evaluation algorithm that will take customers feedback, server rejection rate and server workload into consideration. The experiments show that the trust result is more efficient.
    VL  - 5
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