A Computational Dynamic Trust Model for User Authorization

Development of authorization mechanisms for secure information access by a big community of users in an unlock environment is a major trouble in the ever-growing Internet globe. In this paper we intend a computational dynamic trust model for user authorization, deep-rooted in findings from social science. Similar to most existing computational trust models, this model distinguishes trusting belief in honesty from that in competence in dissimilar contexts and accounts for subjectivity in the evaluation of a meticulous trustee by different trusters. Simulation studies were conducted to evaluate the performance of the proposed integrity belief model with supplementary trust models from the literature for diverse user behavior patterns. Experiments clarify that the proposed model achieves superior performance than other models mostly in predicting the performance of unbalanced users.