A Lightweight Model of Trust Propagation in a Multi-Client Network Environment: To What Extent Does Experience Matter?

Authors:
Marc Conrad;Tim French;Wei Huang;Carsten Maple
Affiliations:
University of Luton, Park Square, Luton, Bedfordshire, LU1 3JU, United Kingdom.;University of Luton, Park Square, Luton, Bedfordshire, LU1 3JU, United Kingdom;University of Luton, Park Square, Luton, Bedfordshire, LU1 3JU, United Kingdom;University of Luton, Park Square, Luton, Bedfordshire, LU1 3JU, United Kingdom
Venue:
ARES '06 Proceedings of the First International Conference on Availability, Reliability and Security
Year:
2006

Citing 0
Cited 5

A Robust Reputation Scheme for Decentralized Group Management Systems

ICISS '08 Proceedings of the 4th International Conference on Information Systems Security
Privacy in a Semantic Cloud: What's Trust Got to Do with It?

CloudCom '09 Proceedings of the 1st International Conference on Cloud Computing
Misbehaviors detection to ensure availability in OLSR

MSN'07 Proceedings of the 3rd international conference on Mobile ad-hoc and sensor networks
Trust Issues on Crowd-Sourcing Methods for Urban Environmental Monitoring

International Journal of Distributed Systems and Technologies
Modelling Self-Led Trust Value Management in Grid and Service Oriented Infrastructures: A Graph Theoretic Social Network Mediated Approach

International Journal of Systems and Service-Oriented Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

The increasing growth in the application of global computing and pervasive systems has necessitated careful consideration of security issues. In particular, there has been a growth in the use of electronic communities, in which there exist many relationships between different entities. Such relationships require establishing trust between entities and a great deal of effort has been expended in developing accurate and reliable models of trust in such multi-client environments. Many of these models are complex and not necessarily guaranteed to give accurate trust predictions. In this paper we present a review of some of these models before proposing a simple, lightweight model for trust. The proposed model does not require the estimation of a large parameter set, nor make great assumptions about the parameters that affect trust.