A Computational Model of Trust and Reputation for E-businesses
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 7 - Volume 7
WS-Trustworthy: A Framework for Web Services Centered Trustworthy Computing
SCC '04 Proceedings of the 2004 IEEE International Conference on Services Computing
Toward autonomic web services trust and selection
Proceedings of the 2nd international conference on Service oriented computing
Time Series Analysis and Its Applications (Springer Texts in Statistics)
Time Series Analysis and Its Applications (Springer Texts in Statistics)
RATEWeb: Reputation Assessment for Trust Establishment among Web services
The VLDB Journal — The International Journal on Very Large Data Bases
WSExpress: A QoS-aware Search Engine for Web Services
ICWS '10 Proceedings of the 2010 IEEE International Conference on Web Services
Automating QoS Based Service Selection
ICWS '10 Proceedings of the 2010 IEEE International Conference on Web Services
SOSE '10 Proceedings of the 2010 Fifth IEEE International Symposium on Service Oriented System Engineering
Business process performance prediction on a tracked simulation model
Proceedings of the 3rd International Workshop on Principles of Engineering Service-Oriented Systems
CoWS: An Internet-Enriched and Quality-Aware Web Services Search Engine
ICWS '11 Proceedings of the 2011 IEEE International Conference on Web Services
An Enhanced QoS Prediction Approach for Service Selection
SCC '11 Proceedings of the 2011 IEEE International Conference on Services Computing
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As most Web services are delivered by third parties over unreliable Internet and are late bound at run-time, it is reasonable and useful to evaluate and predict the trustworthiness of Web services. In this paper, we propose an ARIMA model-based approach to evaluate and predict Web services trustworthiness. First, we evaluate Web services trustworthiness with comprehensive trustworthy evidences collected from the Internet on a regular basis. Then, the cumulative trustworthiness evaluation records are modeled as time series. Finally, we propose an ARIMA model-based multi-step Web services trustworthiness prediction process, which can automatically and iteratively identify and optimize the model to fit the trustworthiness series data. Experiments conducted on a large-scale real-world data set show that our method can effectively evaluate and predict the trustworthiness of Web services, which helps users to reuse Web services.