—with the rapid growth of attack patterns, the number of attributes for detecting attacks gradually increased. Moreover, an automatic attack classification method, as the next thing of intrusion detection, is needed. For solving the above problems, an intrusion classifier based on multiple attribute selection algorithms has been proposed. The classifier includes various combinations with different representative attributes selection algorithms and classification algorithms. A series of experimental results on well-known KDD Cup 1999 data sets indicate real time performance and classification performances of different combinations.
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机译：- 为攻击模式的快速增长，检测攻击的属性数量逐渐增加。此外，需要一种自动攻击分类方法，作为下一步入侵检测。为了解决上述问题，提出了一种基于多个属性选择算法的入侵分类器。分类器包括具有不同代表性属性选择算法和分类算法的各种组合。众所周知的KDD Cup 1999数据集的一系列实验结果表明了不同组合的实时性能和分类性能。
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