An user behavior credibility authentication model in cloud computing environment

To address the issue of credibility authentication of user behaviors in the cloud computing environment, this paper proposes a user behavior credibility authentication model built on the characteristic-based random Petri network to assess the behavior contract credibility of the users accessing the cloud service resources. This model first makes dimensional normalization of the behavioral residue data of the users and uses the decision tree ID3 algorithm to characterize the behavioral residue data of the users to check such data against the behavior authentication sets, so as to determine the credibility of the compliance of the user behaviors with the contract. User behaviors are dynamic and random, so this paper proposes the status deduction function of the random Petri network to analyze the credibility of the compliance of user behaviors with the contract. Then the credible degree is calculated to make quantitative assessment of the user behaviors´ credibility. The simulation experiments indicate that this model is able to reliably assess user behaviors´ credibility in the cloud computing environment and is a certain improvement in terms of accuracy and efficiency of credibility authentication compared with the traditional models.