Analyze the defect of Role Based Access Control and Task Based Access Control model. Based on the two models, put forward an improved Role Based Access Control model to meet the demand of distributed network environment. The formalized definition and constraint are also presented. The new model imports the concept of virtual organization and service flows. Solve the conflict of the model by a new method. The method combines three policies with each other. The policies are administrator priority, refusing grant priority and authorization priority. Through the analysis, the model can meet the demand of distributed environment and can be realized easily.
This paper mainly research on the application of the particle swarm optimization algorithm in anomaly detection, including the PSO algorithm combined with clustering method, PSO with neural networks, PSO with support vector machines and a single PSO algorithm. It analyzes the advantages and disadvantages of each algorithm, and presents the development of application of the particle swarm algorithm in anomaly detection research.
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