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通过网络攻击检测技术实现网络系统的动态防护已成为网络安全的热门研究课题。该文根据数据挖掘技术和攻击检测的特征,将数据挖掘技术应用于网络攻击检测系统中,从系统审计数据中提取出描述正常和异常行为的特征和规则,从而建立攻击检测模型。
Network attack detection technology to achieve the dynamic network system has become a hot research topic of network security. According to the characteristics of data mining technology and attack detection, this paper applies data mining technology to the network attack detection system, and extracts the features and rules describing the normal and abnormal behaviors from the system audit data to establish the attack detection model.