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An entropy gain based overall trust degree (OTD) computation model is proposed for large scale trusted networks. To overcome subjectivity in trust decision, attributes' entropies and their gains are adopted to set attribute weights in the OTD fusion model. Attribute weights are dynamically adjusted by refreshing sample set and attribute entropy gains, to adapt to variations of network entities. Under...
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