With the simulation applications developing in extent and profundity, Internet based distributed simulation becomes the trend in the future. It faces the challenge of system scalability. Data filtering is an efficient method to improve system scalability. In this paper, after discussing the problem of system scalability, the principle, the implementation, the problems of data filtering under HLA (high level architecture) are introduced. In order to solve the problem of too much matching computation, a novel method is proposed to reduce region match computation in data filtering based on hierarchical diving of routing space. This method can reduce matching computation by suing region location knowledge to execute efficient prune searching.