Supporting Trust in Virtual Communities
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 6 - Volume 6
How much is "enough"? Risk in Trust-Based Access Control
WETICE '03 Proceedings of the Twelfth International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises
Promoting Cooperation Among Strangers to Access Internet Services from an Ad Hoc Network
PERCOM '04 Proceedings of the Second IEEE International Conference on Pervasive Computing and Communications (PerCom'04)
Optimal forwarding for wireless ad hoc networks with game theory
International Journal of Autonomous and Adaptive Communications Systems
Game theoretic packet relaying model for wireless ad hoc networks
International Journal of Communication Networks and Distributed Systems
A proposal for coalition networking in dynamic operational environments
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
B-Trust: bayesian trust framework for pervasive computing
iTrust'06 Proceedings of the 4th international conference on Trust Management
TATA: towards anonymous trusted authentication
iTrust'06 Proceedings of the 4th international conference on Trust Management
Hi-index | 0.00 |
The Coalition Peering Domain (CPD) is a recent innovation within the field of mesh networking. It facilitates the management of community-area networks in a distributed and scalable form, allowing devices to pool their network resources (particularly egress links) to the common good. However, as in P2P systems, this form of cooperative sharing architecture raises significant concerns about the effect of free-riders: nodes that utilise the bandwidth of others without providing an adequate return to the community. To address this problem, we propose STRUDEL, a distributed framework that tackles the problem of free-riders and consists of: (i) a mechanism for the detection of malicious peers; (ii) a formal Bayesian trust model, to assess peers' trustworthiness; (iii) a forwarding mechanism based on the maximisation of trust-informed utility.