Methods and metrics for cold-start recommendations
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Authorization Based on Evidence and Trust
DaWaK 2000 Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery
The Eigentrust algorithm for reputation management in P2P networks
WWW '03 Proceedings of the 12th international conference on World Wide Web
Guest Editors' Introduction: Ad Hoc and P2P Security
IEEE Internet Computing
Trusted P2P Transactions with Fuzzy Reputation Aggregation
IEEE Internet Computing
SUTC '06 Proceedings of the IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing -Vol 1 (SUTC'06) - Volume 01
A survey of trust and reputation systems for online service provision
Decision Support Systems
Cluster-Based Trust Model against Attacks in Ad-Hoc Networks
ICCIT '08 Proceedings of the 2008 Third International Conference on Convergence and Hybrid Information Technology - Volume 01
Operational models for reputation servers
iTrust'05 Proceedings of the Third international conference on Trust Management
Defense of trust management vulnerabilities in distributed networks
IEEE Communications Magazine
Information theoretic framework of trust modeling and evaluation for ad hoc networks
IEEE Journal on Selected Areas in Communications
On trust models and trust evaluation metrics for ad hoc networks
IEEE Journal on Selected Areas in Communications
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In wireless ad-hoc networks, all nodes need to have functions able to authenticate each other and so it is critical to know the trustworthiness of each node in such environments. This paper proposes an authentication system for ad-hoc networks, based on a clustering and trust model. Firstly, methods of solving authentication problems, which occur in ad-hoc networks, are discussed. Next, fuzzy logic inference is introduced, which is used as a trust evaluation method for each node and provides both local and global trust values. The reputation is used in the calculation of the trust value. Using the trust value of a trustor, a more sophisticated trust value can be computed. If a node moves from one cluster to another, the trust level of the node is determined by the certificate issued by the previous introducers. In addition, it is demonstrated that the proposed model can monitor and isolate malicious nodes in order to provide enhancements to the network's overall authentication rate.