由于网络自身所具有的公开性、快速性等特点，加之网络信息技术快速发展使得网络中很多不安全的数据或病毒可以更容易地侵入网络，影响网络的安全和信息安全。在大数据处理等信息技术的支撑下，网络入侵检测技术实现了快速发展。提出一种基于数据挖掘的网络入侵检测系统模型，能够有效地解决上述问题，提高自动化程度，并增强检测准备效率与自适应能力。%With the continuous development of network information technology , the network has the characteristics of openness and fast ,which makes the network security and information security ,and affect the network security and information security .Under the support of information technology , network intrusion detection system to achieve a rapid development ,its application has gradually expanded ,but the feedback data from the point of view,the existing intrusion detection systems exist problems of data overload ,false positive, false negative and poor adaptability .In this paper ,we proposed a model of network intrusion detection system based on data mining ,which can effectively change the problem ,and improve the automation degree ,and the test preparation efficiency and adaptive ability are greatly enhanced .
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