Abstract: The problem of access control in collaborative environment has been studied in various situation and there are number of methods has been studied in detail. Still the methods suffers with the poor performance in access control and affects the performance of the collaborative systems. To improve the performance in security and throughput performance, we propose a novel multi attribute behavior analysis model which uses different attributes to compute the trustworthy of the user. The method receives the request from user and identifies the set of all attributes being accessed to complete the process. Based on identified attributes, the method collects the traces produced by accessing the attributes. Using the traces available, the method performs behavioral analysis to computes the trustworthy of accessing the same attributes and others. Based on the trustworthy value the method decides the access of the request generated. The method improves the performance of the collaborative environment and improves the throughput performance.