Fairness Guaranteed Rating Decomposition in Service-oriented Reputation Systems*

Journal of Information Science and Engineering

Volumn 34, Issue 4, 2018, Pages 1079-1094

  Zhang, Tao ^a  

^a XIDIAN UNIVERSITY   (China)

Author keywords

Fairness; Rating decomposition; Reputation systems; Service oriented wireless sensor networks; Trust management

Indexed keywords

COMPUTATION THEORY; DISTRIBUTED COMPUTER SYSTEMS; GAME THEORY; MAXIMUM PRINCIPLE;

COMPUTING CAPABILITY; DECOMPOSITION APPROACH; EXPECTATION-MAXIMIZATION ALGORITHMS; FAIRNESS; INFORMATION AND COMMUNICATION TECHNOLOGIES; REPUTATION SYSTEMS; SERVICE ORIENTED; TRUST MANAGEMENT;

WIRELESS SENSOR NETWORKS;

EID: 85049884813     PISSN: 10162364     EISSN: None     Source Type: Journal    
DOI: 10.6688/JISE.201807_34(4).0017     Document Type: Article

References (22)

1. J. Guo, J. Ma, X. Li, J. Zhang, and T. Zhang, “An attribute-based trust negotiation protocol for d2d communication in smart city balancing trust and privacy,” Journal of Information Science and Engineering, Vol. 33, 2017, pp. 1007-1023.
2. O. A. Wahab, J. Bentahar, H. Otrok, and A. Mourad, “A survey on trust and reputation models for web services: Single, composite, and communities,” Decision Support Systems, Vol. 74, 2015, pp. 121-134.
3. J. Jiang, G. Han, F. Wang, L. Shu, and M. Guizani, “An efficient distributed trust model for wireless sensor networks,” IEEE Transactions on Parallel and Distributed Systems, Vol. 26, 2015, pp. 1228-1237.
4. D. Wu, S. Si, S. Wu, and R. Wang, “Dynamic trust relationships aware data privacy protection in mobile crowd-sensing,” IEEE Internet of Things Journal, 2017, DOI: 10.1109/JIOT.2017.2768073.
5. J. Xiong, Y. Zhang, X. Li, M. Lin, Z. Yao, and G. Liu, “Rse-pow: a role symmetric encryption pow scheme with authorized deduplication for multimedia data,” Mobile Networks and Applications, 2017. DOI: 10.1007/s11036-017-0975-x.
6. S. Sicari, A. Rizzardi, L. Grieco, and A. Coen-Porisini, “Security, privacy and trust in internet of things: The road ahead,” Computer Networks, Vol. 76, 2015, pp. 146-164.
7. Y. Li, C. Wu, and C. Lai, “A social recommender mechanism for e-commerce: Combining similarity, trust, and relationship,” Decision Support Systems, Vol. 55, 2013, pp. 740-752.
8. X. Li, F. Zhou, and X. Yang, “Scalable feedback aggregating (sfa) overlay for large-scale p2p trust management,” IEEE Transactions on Parallel and Distributed Systems, Vol. 23, 2012, pp. 1944-1957.
9. B. Ye, Y. Wang, and L. Liu, “Crowddefense: A trust vector-based threat defense model in crowdsourcing environments,” in Proceedings of IEEE International Conference on Web Services, 2017, pp. 245-252.
10. A. Jøsang, R. Ismail, and C. Boyd, “A survey of trust and reputation systems for online service provision,” Decision Support Systems, Vol. 43, 2007, pp. 618-644.
11. T. Zhang, J. Ma, N. Xi, X. Liu, Z. Liu, and J. Xiong, “Trustworthy service composition in service-oriented mobile social networks,” in Proceedings of IEEE International Conference on Web Services, 2014, pp. 684-687.
12. Y. Wang, I. R. Chen, J. H. Cho, A. Swami, Y. C. Lu, C. T. Lu, and J. Tsai, “Catrust: Context-aware trust management for service-oriented ad hoc networks,” IEEE Transactions on Services Computing, 2017, DOI: 10.1109/TSC.2016.2587259
13. N. Bismeyer, S. Mauthofer, K. M. Bayarou, and F. Kargl, “Assessment of node trustworthiness in vanets using data plausibility checks with particle filters,” in Proceedings of IEEE Vehicular Networking Conference, 2012, pp. 78-85.
14. S. Nepal, Z. Malik, and A. Bouguettaya, “Reputation propagation in composite services,” in Proceedings of IEEE International Conference on Web Services, 2009, pp. 295-302.
15. I. da Silva and A. Zisman, “Decomposing ratings in service compositions,” in Proceedings of the 11th International Conference on Service-Oriented Computing, 2013, pp. 474-482.
16. R. Sadeghi and M. A. Azgomi, “A method for fair propagation of user perceptions for trust management in composite services,” Service Oriented Computing and Applications, Vol. 9, 2015, pp. 157-176.
17. A. Liu, Q. Li, L. Huang, and S. Wen, “Shapley value based impression propagation for reputation management in web service composition,” in Proceedings of IEEE International Conference on Web Services, 2012, pp. 58-65.
18. A. Liu, Q. Li, X. Zhou, L. Li, G. Liu, and Y. Gao, “Rating propagation in web services reputation systems: A fast shapley value approach,” in Proceedings of International Conference on Database Systems for Advanced Applications, 2014, pp. 466-480.
19. L. Li and Y. Wang, “Trust evaluation in composite services selection and discovery,” in Proceedings of IEEE International Conference on Services Computing, 2009, pp. 482-485.
20. T. Zhang, L. Zheng, Y. Wang, Y. Shen, N. Xi, J. Ma, and J. Yong, “Trustworthy service composition with secure data transmission in sensor networks,” World Wide Web, Vol. 21, 2018, pp. 185-200.
21. T. Zhang, J. Ma, Q. Li, N. Xi, and C. Sun, “Trust-based service composition in multi-domain environments under time constraint,” Science China Information Sciences, Vol. 57, 2014, pp. 1-16.
22. N. Bouguila, D. Ziou, and E. Monga, “Practical bayesian estimation of a finite beta mixture through gibbs sampling and its applications,” Statistics and Computing, Vol. 16, 2006, pp. 215-225.