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A Trust Model based on Markov Model Driven Gaussian Process Prediction
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 146 - Number 14 |
| Year of Publication: 2016 |
| Authors: Sarangthem Ibotombi Singh, Smriti Kumar Sinha |
10.5120/ijca2016910933
|
Sarangthem Ibotombi Singh, Smriti Kumar Sinha . A Trust Model based on Markov Model Driven Gaussian Process Prediction. International Journal of Computer Applications. 146, 14 ( Jul 2016), 1-9. DOI=10.5120/ijca2016910933
Abstract
In a completely open Web service environment, where identities cannot be directly checked, only hard security mechanisms are incapable to guarantee fair interactions among the service providers and service consumers. Trust and reputation modeling and management based on social approach is proved to provide the necessary safeguards against malicious interacting partners. In the heart of any trust modeling and management mechanism, predicting trust values for making a decision for interaction at future time is a key part. Trust prediction is a method of predicting potentially unknown trust of a target partner using its previously observed behaviour and also the recommendations received from other peers. In this paper, a trust prediction model based on detection of behavior pattern that may prevail at future time point using a Markov model is proposed. The trust value is obtained from a Gaussian process using the detected pattern.
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