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Multidimensional Dynamic Trust Measurement Model with Incentive Mechanism for Internetware

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8206))

Abstract

The present trust measurement models of Internetware lack adaptability and time-sensitive, and cannot effectively deal with malicious behaviors. Therefore, based on characteristics of forgotten curve and information entropy theory, this paper proposes a multidimensional dynamic trust measurement model with incentive mechanism for Internetware. Experimental results show that this model can effectively restrain strategic dynamic changing behaviors of malicious nodes, and has good effectiveness and adaptability for different types of nodes.

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© 2013 Springer-Verlag Berlin Heidelberg

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Yin, G., Wang, Y., Zhang, J., Dong, H. (2013). Multidimensional Dynamic Trust Measurement Model with Incentive Mechanism for Internetware. In: Yin, H., et al. Intelligent Data Engineering and Automated Learning – IDEAL 2013. IDEAL 2013. Lecture Notes in Computer Science, vol 8206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41278-3_52

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  • DOI: https://doi.org/10.1007/978-3-642-41278-3_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41277-6

  • Online ISBN: 978-3-642-41278-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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