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该文以内网安全管理策略的研究为应用背景,提出一种基于PSO-NN的内网人员分类管理的方法.该方法将有关内网人员的网络行为的信息采集后利用粒子群算法改进的神经网络进行分类管理.通过实验测试表明,该方法克服了传统内网管理方式过分依赖于网络管理员经验和硬件监控的弊端,达到良好的分类效果.这说明该方法能够应用于实际的工作,能有效提高内网安全管理的效率.“,”This article is based on the background of research on internal network security administration. A classification and administration method of internal network based on PSO-BPNN is brought forward. The information of action of the member of internal network is collected and the neural network improved by PSO is used in classification and administration. The experiment test says, the shortcoming of excessively depending on the network administrator and supervise of hardware in traditional internal network administration is overcome and good effect is achieved. In conclusion, the method can be used in actual work, and it is capable of effectively improve the internal network administration.