本文通過分析現有入侵檢測技術的優缺點，提出一種改進的聚類算法CLOPE將其應用
于網絡入侵檢測。該算法不需標準化數據，應用一種基于統計直方圖的全局準則函數進行聚類，特別適用于大規模數據。在運用該算法時，還優化了收益值的計算，加快運行速度。實驗證明，該算法不同于一般的聚類算法，能大大提高入侵檢測的效率。
關鍵詞： 全局準則函數，聚類算法，入侵檢測
Abstract: This article through the analysis existing intrusion detection technology good and bad points, proposed one kind of improvement cluster algorithm CLOPE to apply to the network intrusion detection. This algorithm does not have to standardize the data, uses a kind of global criterion function based on the statistical histogram to depict clusters, specially is suitable for the large-scale data. When utilizes this algorithm, we optimized the income value computation, speeds up the running rate. The experiment proved that, this algorithm is different from the general cluster algorithm , it can improve and invade the efficiency measured greatly.
Keywords:Global criterion function,Cluster alogorithm,Intrusion detection system