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Improving KeyNote Trust Management Model Based on User Behavior for Social Learning

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Advances in Web-Based Learning – ICWL 2013 Workshops (ICWL 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8390))

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Abstract

Trust in social learning environment is influenced greatly by rapid-changing social elements. Therefore it is necessary for us to improve the KeyNote trust model to adapt the dynamic user behavior in social learning. In this paper, we mainly devote ourselves to the work of building a dynamic trust model based on indirect trust relationship. We take advantage of KeyNote to build the dynamic trust model, in which we use an indirect trust algorithm to calculate the trust value of indirect trust relationship. In this way, we can get the trust values of entities in the social learning network by indirect link. Finally our experimental results prove that this dynamic trust management model can deal with the dynamically changing relationship, and calculate user trust value by monitoring user behavior to realize the function of dynamically managing user access.

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Acknowledgment

This work is partly supported by National Program on Key Basic Research Project (973 Program) under Grant 2013CB329304, National Natural Science Foundation of China (No. 61003080), and the Opening Project of Shanghai Key Laboratory of Integrate Administration Technologies for Information Security (No. AGK2012007).

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Authors and Affiliations

  1. Tianjin Key Laboratory of Cognitive Computing and Application School of Computer Science and Technology, Tianjin University, Tianjin, China

    Rui Xu, Guangquan Xu, Dazhi Sun, Xiaohong Li & Zhiyong Feng

Authors
  1. Rui Xu
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  2. Guangquan Xu
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  3. Dazhi Sun
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  4. Xiaohong Li
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  5. Zhiyong Feng
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Corresponding author

Correspondence to Guangquan Xu .

Editor information

Editors and Affiliations

  1. Dickson Computer Systems, Kowloon, Hong Kong SAR

    Dickson K. W. Chiu

  2. The University of Hong Kong, Pokfulam, Hong Kong SAR

    Minhong Wang

  3. University of Craiova, Craiova, Romania

    Elvira Popescu

  4. City University of Hong Kong, Hong Kong, Hong Kong SAR

    Qing Li

  5. City University of Hong Kong, Kowloon, Hong Kong SAR

    Rynson Lau

  6. Department of Computer Science and Information Engineering, National Central University, Jhongli City, Taiwan

    Timothy K. Shih

  7. Department of Electrical Engineering, National Cheng Kung University, Taiwan, Taiwan

    Chu-Sing Yang

  8. Digital Systems Centre for Research & Technology Hellas (CERTH), University of Piraeus Dept of Digital Systems, Piraeus, Greece

    Demetrios G. Sampson

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Xu, R., Xu, G., Sun, D., Li, X., Feng, Z. (2015). Improving KeyNote Trust Management Model Based on User Behavior for Social Learning. In: Chiu, D., et al. Advances in Web-Based Learning – ICWL 2013 Workshops. ICWL 2013. Lecture Notes in Computer Science(), vol 8390. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46315-4_10

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  • DOI: https://doi.org/10.1007/978-3-662-46315-4_10

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-46314-7

  • Online ISBN: 978-3-662-46315-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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