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分析了入侵检测中应用数据挖掘技术的基本思想,提出了一种基于数据挖掘的分布式入侵检测算法,并对该算法进行了仿真实验。结果证明,该算法能从大量网络流量连接记录中,挖掘出不同类型的关联入侵规则。
The basic thought of applying data mining technology in intrusion detection is analyzed. A distributed intrusion detection algorithm based on data mining is proposed, and the algorithm is simulated. The results show that this algorithm can mine different types of associated intrusion rules from a large number of network traffic connection records.