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According to the unknown of attack behavior in cyberspace, this paper presents an attack modeling method based on system states aggregation. In the model, the basic principle of the finite automaton is researched and attack entities of cyberspace are classified by attack process, it combines finite automaton with the changes of system state caused by attack entity, building the attack model of finite automaton, making an analysis of the model algorithm, and making a quantitative evaluation on attack cost, the success rate, exposure rate and evaluating severity of attack on cyberspace. Finally, through the analysis of typical attack behavior by using network attack modeling, it shows that the model proposed is feasible and effective. Keywords; finite automaton; attack model; system states aggregation; attack detection; security early warning

Research of Attack Model Based on Finite Automaton