Trustworthy interaction balancing in mixed service-oriented systems
Proceedings of the 2010 ACM Symposium on Applied Computing
Trustworthy Service Selection and Composition
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
A probabilistic approach for maintaining trust based on evidence
Journal of Artificial Intelligence Research
Bootstrapping trust of web services through behavior observation
ICWE'11 Proceedings of the 11th international conference on Web engineering
Enhancing OpenID through a reputation framework
ATC'11 Proceedings of the 8th international conference on Autonomic and trusted computing
Multi-variate Distributed Data Fusion with Expensive Sensor Data
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
A taxonomy of trust oriented approaches for services computing
Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
A trust-based game theoretical model for Web services collaboration
Knowledge-Based Systems
On the analysis of reputation for agent-based web services
Expert Systems with Applications: An International Journal
Dependability in dynamic, evolving and heterogeneous systems: the connect approach
Proceedings of the 2nd International Workshop on Software Engineering for Resilient Systems
A survey of trust in social networks
ACM Computing Surveys (CSUR)
Towards the integration of reputation management in OpenID
Computer Standards & Interfaces
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Algorithms for composing Web services (WS) traditionally utilize thefunctional andquality-of-service parameters ofcandidate servicesto decide which services to include in the composition.Users oftenhavediffering experienceswitha WS. Whiletrust ina WSismulti-faceted andconsists of security andbehavioral aspects, ourfocus in thispaper is on the latter.We adopta formal model fortrust in a WS, whichmeets many of our intuitions about trustworthyWSs.We hypothesizepredictors of a positive experiencewith a WSandconduct asmall pilotstudy toexplorecorrelations betweensubjects' experienceswith WSs ina composition andthe predictorvalues for those WSs.Furthermore,we show how we mayderivetrust for compositions from trust models of individual services.Weconclude by presenting and evaluating a novel framework, calledWisp, that utilizes the trust models and, in combination with anyWS composition tool, choosescompositions to deploy that are deemedmost trustworthy.