CBTM: a trust model with uncertainty quantification and reasoning for pervasive computing

Authors:
Rui He;Jianwei Niu;Guangwei Zhang
Affiliations:
Beijing University of Aeronautics and Astronautics, Beijing, China;Beijing University of Aeronautics and Astronautics, Beijing, China;Beijing University of Aeronautics and Astronautics, Beijing, China
Venue:
ISPA'05 Proceedings of the Third international conference on Parallel and Distributed Processing and Applications
Year:
2005

Citing 8
Cited 0

A distributed trust model

NSPW '97 Proceedings of the 1997 workshop on New security paradigms
Managing trust in a peer-2-peer information system

Proceedings of the tenth international conference on Information and knowledge management
An evidential model of distributed reputation management

Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Mining Association Rules with Linguistic Cloud Models

PAKDD '98 Proceedings of the Second Pacific-Asia Conference on Research and Development in Knowledge Discovery and Data Mining
Valuation of Trust in Open Networks

ESORICS '94 Proceedings of the Third European Symposium on Research in Computer Security
A Computational Model of Trust and Reputation for E-businesses

HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 7 - Volume 7
Trust for Ubiquitous, Transparent Collaboration

PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Trust in information sources as a source for trust: a fuzzy approach

AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a novel trust model in which we model trust based on an exotic uncertainty theory, namely cloud model. We regard trust between entities as a cloud that is called as trust cloud. Based on such a quantification model of trust, we further propose the algorithms to compute propagated trust relationships and aggregated trust relationships, which are needed for trust reasoning in pervasive computing environments. Finally, we compare the proposed trust model with other three typical models in simulation experiments, and the results shows the cloud-based trust model performs better in a total sense.