Communications of the ACM
IPTPS '01 Revised Papers from the First International Workshop on Peer-to-Peer Systems
Valuation of Trust in Open Networks
ESORICS '94 Proceedings of the Third European Symposium on Research in Computer Security
KeyNote: Trust Management for Public-Key Infrastructures (Position Paper)
Proceedings of the 6th International Workshop on Security Protocols
Decentralized Trust Management
SP '96 Proceedings of the 1996 IEEE Symposium on Security and Privacy
A Fuzzy Trust Model for E-Commerce
CEC '05 Proceedings of the Seventh IEEE International Conference on E-Commerce Technology
A Secure Trust Establishment Model
SUTC '06 Proceedings of the IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing -Vol 1 (SUTC'06) - Volume 01
IPVita: an intelligent platform of virtual travel agency
APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
Bayesian network trust model in peer-to-peer networks
AP2PC'03 Proceedings of the Second international conference on Agents and Peer-to-Peer Computing
Hi-index | 0.00 |
Online travel has its own characteristics which is different from traditional travel on interaction. During the process of online travel, travelers and travel service providers do not meet face to face, which raises a trusting problem between parties. This paper demonstrates an adaptable three-layer trust system model for online travel. It includes Data Collect layer, Filter Rule layer, and Evaluation layer. In the proposed model, the lower layer provides inputs to the upper layer, and the upper layer can provide feedback to the lower layer. On the other hand, every layer is self-governed, and modification of one layer would not affect other layers. As well, a trust evaluation method located in the evaluation layer for IPVita, our online travel platform, is also described and experimented in the paper. The proposed method considers three aspects: timeliness of trust, united discount among service providers and subjective trust. As proved in the paper, it is more safe and efficient for online travel platform. In the end, the simulation illustrates that the proposed method can lighten the phenomenon of service hotspot effectively.