【摘要】 数据挖掘能从大量的、有噪声的、随机的数据中提取隐含在其中有用的信息和知识,而Agent代理技术具有功能的连续性、自主性、适应性,能够连续不断地感知外界及自身状态的变化。针对现有入侵检测系统的不足,对数据挖掘技术和智能检测代理应用于入侵检测系统进行了研究,提出一个基于数据挖掘技术的智能入侵检测系统模型,探讨了模型体系结构及主要功能。实验表明,该模型能生成新规则,找到入侵数据,降低入侵检测系统的误警率。更多还原

【Abstract】 Data mining can extract useful information and knowledge from the massive, noise, radon data. The Agent has the function of continuity, independency and compatibility and can continuously perceive the changes of outside and own conditions. To solve the problems of intrusion detection system, an intelligent model of intrusion detection based on data mining approach is proposed. Its system architecture and main function were discussed. The model can produce new rules, find intrusion data and decrease the false alarm rate.更多还原