Skip to main content
SpringerLink
Log in
Book cover

International Conference on Algorithms and Architectures for Parallel Processing

ICA3PP 2019: Algorithms and Architectures for Parallel Processing pp 330–344Cite as

RTEF-PP: A Robust Trust Evaluation Framework with Privacy Protection for Cloud Services Providers

  • Conference paper
  • First Online:

  • 1514 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11944))

Abstract

The trust problem of Cloud Services Providers (CSPs) has become one of the most challenging issues for cloud computing. To build trust between Cloud Clients (CCs) and CSPs, a large number of trust evaluation frameworks have been proposed. Most of these trust evaluation frameworks collect and process evidence data such as the feedback and the preferences from CCs. However, evidence data may reveal the CCs’ privacy. So far there are very few trust frameworks study on the privacy protection of CCs. In addition, when the number of malicious CCs’ feedback increases, the accuracy of existing frameworks is greatly reduced. This paper proposes a robust trust evaluation framework RTEF-PP, which uses differential privacy to protect CCs’ privacy. Furthermore, RTEF-PP uses the Euclidean distances between the monitored QoS values and CCs’ feedback to detect malicious CCs’ feedback ratings, and is not affected by the number of malicious CCs’ feedback rating. Experimental results show that RTEF-PP is reliable and will not be affected by the number of malicious CCs’ feedback rating.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Al-Masri, E., Mahmoud, Q.H.: Discovering the best web service. In: Proceedings of the 16th International Conference on World Wide Web, WWW 2007, Banff, Alberta, Canada, 8–12 May 2007, pp. 1257–1258 (2007)

    Google Scholar 

  2. Alhamad, M., Dillon, T., Chang, E.: Conceptual SLA framework for cloud computing. In: IEEE International Conference on Digital Ecosystems and Technologies (2010)

    Google Scholar 

  3. Alhamad, M., Dillon, T.S., Chang, E.: SLA-based trust model for cloud computing. In: International Conference on Network- based Information Systems (2010)

    Google Scholar 

  4. Chakraborty, S., Roy, K.: An SLA-based framework for estimating trustworthiness of a cloud. In: IEEE International Conference on Trust (2012)

    Google Scholar 

  5. Dwork, C., McSherry, F., Nissim, K., Smith, A.: Calibrating noise to sensitivity in private data analysis. In: Halevi, S., Rabin, T. (eds.) TCC 2006. LNCS, vol. 3876, pp. 265–284. Springer, Heidelberg (2006). https://doi.org/10.1007/11681878_14

    Chapter  Google Scholar 

  6. Huang, L., Deng, S., Li, Y., Wu, J., Yin, J., Li, G.: A trust evaluation mechanism for collaboration of data-intensive services in cloud. Appl. Math 7(1L), 121–129 (2013)

    MathSciNet  Google Scholar 

  7. Fujitsu Research Institute: Personal data in the cloud: a global survey of consumer attitudes. http://www.fujitsu.com/downloads/SOL/fai/reports/fujitsu_personal-data-in-the-cloud.pdf

  8. Ma, Z., Jiang, R., Yang, M., Li, T., Zhang, Q.: Research on the measurement and evaluation of trusted cloud service. Soft. Comput. 22(6), 1–16 (2016)

    Google Scholar 

  9. Muchahari, M.K., Sinha, S.K.: A new trust management architecture for cloud computing environment. In: International Symposium on Cloud and Services Computing (2013)

    Google Scholar 

  10. Nazemi, S., Vesal, H.: Multiple Attribute Decision Making (1981)

    Google Scholar 

  11. Nguyen, H.T., Zhao, W., Jian, Y.: A trust and reputation model based on Bayesian network for web services. In: IEEE International Conference on Web Services (2010)

    Google Scholar 

  12. Noor, T.H., Sheng, Q.Z., Yao, L., Dustdar, S., Ngu, A.H.H.: CloudArmor: supporting reputation- based trust management for cloud services. IEEE Trans. Parallel Distrib. Syst. 27(2), 367–380 (2016)

    Article  Google Scholar 

  13. Noorian, Z., Fleming, M., Marsh, S.: Preference-oriented QoS-based service discovery with dynamic trust and reputation management. In: Proceedings of the ACM Symposium on Applied Computing, SAC 2012, Riva, Trento, Italy, 26–30 March 2012, pp. 2014–2021 (2012)

    Google Scholar 

  14. Qiu, W., Zheng, Z., Wang, X., Yang, X., Lyu, M.R.: Reputation-aware QoS value prediction of web services. In: IEEE International Conference on Services Computing (2013)

    Google Scholar 

  15. Shannon, C.E., Weaver, W.: The mathematical theory of communication. Bell Labs Tech. J. 3(9), 31–32 (1950)

    Google Scholar 

  16. Shuai, D., Yang, S., Zhang, Y., Liang, C., Xia, C.: Combining QoS prediction and customer satisfaction estimation to solve cloud service trustworthiness evaluation problems. Knowl.-Based Syst. 56(3), 216–225 (2014)

    Google Scholar 

  17. Sidhu, J., Singh, S.: Improved topsis method based trust evaluation framework for determining trustworthiness of cloud service providers. J. Grid Comput. 15(1), 1–25 (2016)

    Google Scholar 

  18. Singh, S., Sidhu, J.: Compliance-based multi-dimensional trust evaluation system for determining trustworthiness of cloud service providers. Future Gener. Comput. Syst. 67, 109–132 (2017)

    Article  Google Scholar 

  19. Tang, M., Dai, X., Liu, J., Chen, J.: Towards a trust evaluation middleware for cloud service selection. Future Gener. Comput. Syst. 74(C), 302–312 (2017)

    Article  Google Scholar 

  20. Wang, Y., Wen, J., Zhou, W., Luo, F.: A novel dynamic cloud service trust evaluation model in cloud computing, pp. 10–15 (2018)

    Google Scholar 

  21. Xu, K., Zhang, W., Zheng, Y.: A privacy-preserving mobile application recommender system based on trust evaluation. J. Comput. Sci. 26, 87–107 (2018)

    Article  Google Scholar 

  22. Zheng, Y., Ding, W., Niemi, V., Vasilakos, A.V.: Two schemes of privacy-preserving trust evaluation. Future Gener. Comput. Syst. 62(C), 175–189 (2016)

    Google Scholar 

  23. Zheng, Z., Wu, X., Zhang, Y., Lyu, M.R., Wang, J.: QoS ranking prediction for cloud services. IEEE Trans. Parallel Distrib. Syst. 24(6), 1213–1222 (2013)

    Article  Google Scholar 

Download references

Acknowledgements

The work was supported by the National Natural Science Foundation of China (No. 61572001, No. 61702005), the Natural Science Foundation of Anhui Province (No. 1708085QF136), the Special Fund for Key Program of Science and Technology of Anhui Province, China (Grant No. 18030901027).

Author information

Authors and Affiliations

  1. School of Computer Science and Technology, Anhui University, Hefei, 230039, China

    Hong Zhong, JianZhong Zou, Jie Cui & Yan Xu

  2. Anhui Engineering Laboratory of IoT Security Technologies, Hefei, 230039, China

    Hong Zhong, JianZhong Zou, Jie Cui & Yan Xu

Authors
  1. Hong Zhong
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. JianZhong Zou
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jie Cui
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yan Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yan Xu .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Software Engineering, Swinburne University of Technology, Hawthorn, Melbourne, VIC, Australia

    Sheng Wen

  2. School of Computer Science, The University of Sydney, Camperdown, NSW, Australia

    Albert Zomaya

  3. Department of Computer Science, St. Francis Xavier University, Antigonish, NS, Canada

    Laurence T. Yang

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zhong, H., Zou, J., Cui, J., Xu, Y. (2020). RTEF-PP: A Robust Trust Evaluation Framework with Privacy Protection for Cloud Services Providers. In: Wen, S., Zomaya, A., Yang, L. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2019. Lecture Notes in Computer Science(), vol 11944. Springer, Cham. https://doi.org/10.1007/978-3-030-38991-8_22

Download citation

Publish with us

Policies and ethics

Search

Navigation