本文通過(guò)分析現(xiàn)有入侵檢測(cè)技術(shù)的優(yōu)缺點(diǎn)，提出一種改進(jìn)的聚類算法CLOPE將其應(yīng)用
于網(wǎng)絡(luò)入侵檢測(cè)。該算法不需標(biāo)準(zhǔn)化數(shù)據(jù)，應(yīng)用一種基于統(tǒng)計(jì)直方圖的全局準(zhǔn)則函數(shù)進(jìn)行聚類，特別適用于大規(guī)模數(shù)據(jù)。在運(yùn)用該算法時(shí)，還優(yōu)化了收益值的計(jì)算，加快運(yùn)行速度。實(shí)驗(yàn)證明，該算法不同于一般的聚類算法，能大大提高入侵檢測(cè)的效率。
關(guān)鍵詞： 全局準(zhǔn)則函數(shù)，聚類算法，入侵檢測(cè)
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