Communications of the ACM
PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities
IEEE Transactions on Knowledge and Data Engineering
Reputation-Based Semantic Service Discovery
WETICE '04 Proceedings of the 13th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises
Agent-based trust model involving multiple qualities
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
An integrated trust and reputation model for open multi-agent systems
Autonomous Agents and Multi-Agent Systems
A Trust Overlay Architecture and Protocol for Enhanced Protection against Spam
ARES '07 Proceedings of the The Second International Conference on Availability, Reliability and Security
RATEWeb: Reputation Assessment for Trust Establishment among Web services
The VLDB Journal — The International Journal on Very Large Data Bases
ECOWS '09 Proceedings of the 2009 Seventh IEEE European Conference on Web Services
Trustworthy service composition: challenges and research questions
AAMAS'02 Proceedings of the 2002 international conference on Trust, reputation, and security: theories and practice
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In Web service compositions the number of component services that need to be aggregated may be large and dynamically changing. Web service (WS) compositions require the capability to dynamically adapt to changes that may occur at runtime, including changes in the environment and in the component services themselves. Service composers must be able to respond swiftly to changed trustworthiness (TW) requirements and capabilities of service compositions, where those changes may not be easily predictable. With the availability of alternative services providing the same functionality as those already integrated in a service composition, service composers can take advantage of this by dynamically replacing degrading or unsatisfactory components. This paper provides techniques and an approach to dynamically detect and replace component services based on their trustworthiness.