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

نویسندگان

  • Rui Xu
  • Guangquan Xu
  • Da-Zhi Sun
  • Xiaohong Li
  • Zhiyong Feng
چکیده

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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تاریخ انتشار 2013