Development of authorization mechanisms for
secure information access by a large community of users in an open environment
is an important problem in the ever-growing Internet world. In this paper we
propose a computational dynamic trust model for user authorization, rooted in
findings from social science. Unlike most existing computational trust models,
this model distinguishes trusting belief in integrity from that in competence
in different contexts and accounts for subjectivity in the evaluation of a
particular trustee by different thrusters. Simulation studies were conducted to
compare the performance of the proposed integrity belief model with other trust
models from the literature for different user behavior patterns. Experiments
show that the proposed model achieves higher performance than other models
especially in predicting the behavior of unstable users
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