Research on Service Reputation Evaluation Method Based on Cloud Model

Tingwei Chen; Jing Lei

doi:doi:10.11648/j.ijiis.20150401.12

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Research on Service Reputation Evaluation Method Based on Cloud Model

Tingwei Chen, Jing Lei

Published in International Journal of Intelligent Information Systems (Volume 4, Issue 1)

Received: 17 November 2014 Accepted: 15 January 2015 Published: 27 January 2015

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Abstract

With the increasingly evident advantages of service-oriented software architecture, Web service received widespread attention, and the numbers of Web Services are increasing constantly. It is more difficult to select high-quality Web service that meets user requirements. Because traditional service reputation evaluation approaches cannot ensure the authenticity and reliability of user ratings, this paper proposes a cloud-based reputation evaluation approach for assessing the history behavior of service consumers, and also takes into account the rating similarity to generate rating quality cloud. With the parameters of cloud model, we can measure the quality level and stability of rankings, which provide additional evidence for trust decision-making. The result of simulating experiments shows that the proposed approach can improve the accuracy of reputation evaluation and the quality of Web service selection, and defend against malicious attacks, so that the interests of service requesters and service providers can be protected.

Published in	International Journal of Intelligent Information Systems (Volume 4, Issue 1)
DOI	10.11648/j.ijiis.20150401.12
Page(s)	8-15
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

Web Services, Trust Model, Cloud Theory, Recommendation Trust

References

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[2]	Fu Xiao-Dong, ZOU Ping, JIANG Ying. Web Service Reputation Measurement Based on Quality of Service Similarity. Computer Integrated Manufacturing Systems, Vol.14, No.3, March 2008, pp.0619-0624.
[3]	Hien Trang Nguyen, Weiling Zhao, Jian Yang. A Trust and Reputation Model Based on Bayesian Network for Web Services[C] IEEE International Conference on Web Services,2010, pp.251-258
[4]	Sun Qiu-Jing, Zeng Ping-Fan. Trust Model Based on Reputation and Cloud Model in P2P Environment. Journal of Chinese Computer Systems, Vol.31, No.7, July 2010, pp.1328-1332.
[5]	Billhardt H, Hermoso R, Ossowski S, Centeno R. Trust-Based Service Provider Selection in Open Environments. In: Proc. of the22nd Annual ACM Symp. on Applied Computing. New York: ACM Press, 2007, pp. 1375-1380.
[6]	Li DY, Du Y. Artificial Intelligence with Uncertainty. Beijing: National Defense Industry Press, 2005 (in Chinese).
[7]	Claypool M et al. Implicit interest indicators[C]. In: Proceedings of ACM Intelligent User Interfaces Conference (IUI) , Santa Fe, New Mexico, ACM, 2001.
[8]	Liu Xue-yi. Delphi Technique in the Assessment of Interdisciplinary Research. JOURNAL OF SOUTHWEST JIAOTONG UNIVERSITY, vol. 8, No. 2, 2007.
[9]	Li Zhen, Yang Fang-Chun, Su Sen. Fuzzy Multi-Attribute Decision Making-Based Algorithm for Semantic Web Service Composition, Journal of Software, Vol.20, No.3, March 2009.
[10]	Sun Ping, Jiang Chang-Jun. Using Service Clustering to Facilitate Process-Oriented Semantic Web Service Discovery. CHINESE JOURNAL OF COMPUTERS, Vol18, No.8, Aug. 2008
[11]	Li Xiong, Liu Ling. Peer Trust supporting reputation-based trust for peer-to-peer electronic communities [J]. IEEE Transactions on Knowledge and Data Engineering, 2004, 16(7), pp.843-857.
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[13]	Wang Shang-Guang, Sun Qi-Bo, Yang Fang-Chang. Reputation Evaluation Approach in Web Service Selection. Journal of Software, 2012, 23(6), pp.1350-1367.
[14]	Beth T, Borcherding M, Klein B. Valuation of Trust in OpenNetwork[C]//Proceedings of the European Symposium on Research in Security. Brighton: Springer-Verlag, 1994, pp. 3-18.

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APA Style

Tingwei Chen, Jing Lei. (2015). Research on Service Reputation Evaluation Method Based on Cloud Model. International Journal of Intelligent Information Systems, 4(1), 8-15. https://doi.org/10.11648/j.ijiis.20150401.12

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ACS Style

Tingwei Chen; Jing Lei. Research on Service Reputation Evaluation Method Based on Cloud Model. Int. J. Intell. Inf. Syst. 2015, 4(1), 8-15. doi: 10.11648/j.ijiis.20150401.12

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AMA Style

Tingwei Chen, Jing Lei. Research on Service Reputation Evaluation Method Based on Cloud Model. Int J Intell Inf Syst. 2015;4(1):8-15. doi: 10.11648/j.ijiis.20150401.12

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@article{10.11648/j.ijiis.20150401.12,
  author = {Tingwei Chen and Jing Lei},
  title = {Research on Service Reputation Evaluation Method Based on Cloud Model},
  journal = {International Journal of Intelligent Information Systems},
  volume = {4},
  number = {1},
  pages = {8-15},
  doi = {10.11648/j.ijiis.20150401.12},
  url = {https://doi.org/10.11648/j.ijiis.20150401.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20150401.12},
  abstract = {With the increasingly evident advantages of service-oriented software architecture, Web service received widespread attention, and the numbers of Web Services are increasing constantly. It is more difficult to select high-quality Web service that meets user requirements. Because traditional service reputation evaluation approaches cannot ensure the authenticity and reliability of user ratings, this paper proposes a cloud-based reputation evaluation approach for assessing the history behavior of service consumers, and also takes into account the rating similarity to generate rating quality cloud. With the parameters of cloud model, we can measure the quality level and stability of rankings, which provide additional evidence for trust decision-making. The result of simulating experiments shows that the proposed approach can improve the accuracy of reputation evaluation and the quality of Web service selection, and defend against malicious attacks, so that the interests of service requesters and service providers can be protected.},
 year = {2015}
}

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TY  - JOUR
T1  - Research on Service Reputation Evaluation Method Based on Cloud Model
AU  - Tingwei Chen
AU  - Jing Lei
Y1  - 2015/01/27
PY  - 2015
N1  - https://doi.org/10.11648/j.ijiis.20150401.12
DO  - 10.11648/j.ijiis.20150401.12
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
SP  - 8
EP  - 15
PB  - Science Publishing Group
SN  - 2328-7683
UR  - https://doi.org/10.11648/j.ijiis.20150401.12
AB  - With the increasingly evident advantages of service-oriented software architecture, Web service received widespread attention, and the numbers of Web Services are increasing constantly. It is more difficult to select high-quality Web service that meets user requirements. Because traditional service reputation evaluation approaches cannot ensure the authenticity and reliability of user ratings, this paper proposes a cloud-based reputation evaluation approach for assessing the history behavior of service consumers, and also takes into account the rating similarity to generate rating quality cloud. With the parameters of cloud model, we can measure the quality level and stability of rankings, which provide additional evidence for trust decision-making. The result of simulating experiments shows that the proposed approach can improve the accuracy of reputation evaluation and the quality of Web service selection, and defend against malicious attacks, so that the interests of service requesters and service providers can be protected.
VL  - 4
IS  - 1
ER  -

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Author Information

Tingwei Chen

College of Information, Liaoning University, Shenyang, Liaoning, China
Jing Lei

College of Information, Liaoning University, Shenyang, Liaoning, China

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APA Style

Tingwei Chen, Jing Lei. (2015). Research on Service Reputation Evaluation Method Based on Cloud Model. International Journal of Intelligent Information Systems, 4(1), 8-15. https://doi.org/10.11648/j.ijiis.20150401.12

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ACS Style

Tingwei Chen; Jing Lei. Research on Service Reputation Evaluation Method Based on Cloud Model. Int. J. Intell. Inf. Syst. 2015, 4(1), 8-15. doi: 10.11648/j.ijiis.20150401.12

Copy | Download

AMA Style

Tingwei Chen, Jing Lei. Research on Service Reputation Evaluation Method Based on Cloud Model. Int J Intell Inf Syst. 2015;4(1):8-15. doi: 10.11648/j.ijiis.20150401.12

Copy | Download

@article{10.11648/j.ijiis.20150401.12,
  author = {Tingwei Chen and Jing Lei},
  title = {Research on Service Reputation Evaluation Method Based on Cloud Model},
  journal = {International Journal of Intelligent Information Systems},
  volume = {4},
  number = {1},
  pages = {8-15},
  doi = {10.11648/j.ijiis.20150401.12},
  url = {https://doi.org/10.11648/j.ijiis.20150401.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20150401.12},
  abstract = {With the increasingly evident advantages of service-oriented software architecture, Web service received widespread attention, and the numbers of Web Services are increasing constantly. It is more difficult to select high-quality Web service that meets user requirements. Because traditional service reputation evaluation approaches cannot ensure the authenticity and reliability of user ratings, this paper proposes a cloud-based reputation evaluation approach for assessing the history behavior of service consumers, and also takes into account the rating similarity to generate rating quality cloud. With the parameters of cloud model, we can measure the quality level and stability of rankings, which provide additional evidence for trust decision-making. The result of simulating experiments shows that the proposed approach can improve the accuracy of reputation evaluation and the quality of Web service selection, and defend against malicious attacks, so that the interests of service requesters and service providers can be protected.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Research on Service Reputation Evaluation Method Based on Cloud Model
AU  - Tingwei Chen
AU  - Jing Lei
Y1  - 2015/01/27
PY  - 2015
N1  - https://doi.org/10.11648/j.ijiis.20150401.12
DO  - 10.11648/j.ijiis.20150401.12
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
SP  - 8
EP  - 15
PB  - Science Publishing Group
SN  - 2328-7683
UR  - https://doi.org/10.11648/j.ijiis.20150401.12
AB  - With the increasingly evident advantages of service-oriented software architecture, Web service received widespread attention, and the numbers of Web Services are increasing constantly. It is more difficult to select high-quality Web service that meets user requirements. Because traditional service reputation evaluation approaches cannot ensure the authenticity and reliability of user ratings, this paper proposes a cloud-based reputation evaluation approach for assessing the history behavior of service consumers, and also takes into account the rating similarity to generate rating quality cloud. With the parameters of cloud model, we can measure the quality level and stability of rankings, which provide additional evidence for trust decision-making. The result of simulating experiments shows that the proposed approach can improve the accuracy of reputation evaluation and the quality of Web service selection, and defend against malicious attacks, so that the interests of service requesters and service providers can be protected.
VL  - 4
IS  - 1
ER  -

Copy | Download