Dynamics and Stability of Trust Model in ECommerce

Abstract

Abstract:

Abstract: Currently, most researches on trust model are focused on its computability and diversity, but ignore its dynamics and stability. This paper presents a new trust model for Ecommerce system focusing on its dynamics and stability. In this trust model, peer A’s trust in peer B consists of two parts： A’s direct trust in B and the reputationbased trust of B. A’s direct trust in B is computed according to A’s rating about their transactions. The reputationbased trust of B is computed according to all peers’ transaction rating to him. Considering influence of the time factor, a new concept named credible time window is defined and a punishment mechanism for failed transactions is designed, so the dynamics trust model can motivate a fair exchange effectively. The dynamics of the model can affect the stability, how to balance them in different situation is studied. The experimental results show that this model outperforms the existing trust models in dynamics, and it can make a balance between its dynamics and stability as required.

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Key words:

, Key words: , trust model； dynamics； stability； Ecommerce

CLC Number:

TP311

LIU Wei. Dynamics and Stability of Trust Model in ECommerce[J]. Computer and Modernization, 2014, 0(4): 138-142.

References

［1］

Lavrac N, Ljubic P, Urbancic T, et al. Trust modeling for networked organizations using reputation and collaboration estimates［J］. IEEE Transactions on Systems, Man and Cybernetics, 2007,37(3):429439.

［2］唐文,陈钟. 基于模糊集合理论的主观信任管理模型研究［J］. 软件学报, 2003,14(8):14011408.

［3］唐文,胡建斌. 基于模糊逻辑的主观信任管理模型研究［J］. 计算机研究与发展, 2005,42(5):797803.

［4］ Yao Wang, Julita Vassileva. Bayesian network trust model in peertopeer networks［C］// Proceedings of the Second International Workshop Peers and PeertoPeer Computing. 2005:2334.

［5］ Li X, Ling L. PeerTrust: Supporting reputationbased trust for peertopeer electronic communities［J］. IEEE Transactions on Knowledge and Data Engineering, 2004,16(7):843857.

［6］ Kamvar S D, Schlosser M T, GarciaMolina H. The Eigentrust algorithm for reputation management in P2P networks［C］// Proceedings of the 12th International Conference on World Wide Web. 2003:640651.

［7］ Runfang Z, Kai H. PowerTrust: A robust and scalable reputation system for trusted peertopeer computing［J］. IEEE Transactions on Parallel and Distributed Systems, 2007,18(4):460473.

［8］ Elizabeth Chang, Patricia Thomson, Tharam Dillon, et al. The fuzzy and dynamic nature of trust［C］// Proceedings of the Second International Conference on Trust, Privacy, and Security in Digital Business. 2005:161174.

［9］ Huberman B A, Wu F. The dynamics of reputations［J］. Journal of Statistical Mechanics: Theory and Experiment, 2004(4):622.

［10］Ming F, Yong T, Whinston A B. Evaluation and design of online cooperative feedback mechanisms for reputation management［J］. IEEE Transactions on Knowledge and Data Engineering, 2005,17(2):244254.

［11］姜守旭,李建中. 一种P2P电子商务系统中基于声誉的信任机制［J］. 软件学报, 2007,18(10):25512563．

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