User Behaviour Authentication Model Based on Stochastic Petri Net in Cloud Environment

Cloud Computing has been developing rapidly and has impacted various aspects of our daily life. However, the growth of cloud service raises concerns about its security. This paper will be focussing on user identity authentication issues in the cloud environment. Through analysing and classifying user behaviours, we propose a Stochastic Petri net-based User Behaviour Authentication model (SPUBA), which uses the behaviour of a user while logging in and browsing to analyse user behaviour credibility. Also, in order to quantify user behaviour credibility, we have modified a K-modes algorithm to solve user habitual behavioural standard, proposed an algorithm for calculating user behaviour credibility. The user operational behaviours simulations has been performed in the cloud environment to analyse the execution time of the proposed model. The results regarding the detection and false positive rates shown are better than current models.

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