ACM Computing Surveys (CSUR)
Moving Active Functionality from Centralized to Open Distributed Heterogeneous Environments
CooplS '01 Proceedings of the 9th International Conference on Cooperative Information Systems
A reputation-based trust model for peer-to-peer ecommerce communities [Extended Abstract]
Proceedings of the 4th ACM conference on Electronic commerce
Supporting Trust in Virtual Communities
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 6 - Volume 6
Towards self-protecting ubiquitous systems: monitoring trust-based interactions
Personal and Ubiquitous Computing
Using Trust for Secure Collaboration in Uncertain Environments
IEEE Pervasive Computing
Trust lifecycle management in a global computing environment
GC'04 Proceedings of the 2004 IST/FET international conference on Global Computing
A User Behavior Based Trust Model for Mobile Applications
ATC '08 Proceedings of the 5th international conference on Autonomic and Trusted Computing
A Power Peer-Based Reputation Scheme for Mobile P2P Systems
ICA3PP '09 Proceedings of the 9th International Conference on Algorithms and Architectures for Parallel Processing
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Evidence based trust management, where automated decision making is supported through collection of evidence about the trustworthiness of entities from a variety of sources, has gained popularity in recent years. So far work in this area has primarily focussed on schemes for combining evidence from potentially unreliable sources (recommenders) with the aim of improving the quality of decision making. The large body of literature on reputation systems is testament to this. At the same time, little consideration has been given to the actual gathering of useful and detailed experiential evidence. Most proposed systems use quite simplistic representations for experiences, and mechanisms where high level feedback is provided by users. Consequently, these systems provide limited support for automated decision making. In this paper we build upon our previous work in trust-based interaction modelling and we present an interaction monitor that enables automated collection of detailed interaction evidence. The monitor is a prototype implementation of our generic interaction monitoring architecture that combines well understood rule engine and event management technology. This paper also describes a distributed file server scenario, in order to demonstrate our interaction model and monitor. Finally, the paper presents some preliminary results of a simulation-based evaluation of our monitor in the context of the distributed file server scenario.