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引用次数: 0
摘要
可视化信息是一种有用的技术,它可以对大量复杂的相互关联的数据进行编码,同时很容易被人类用户量化、操纵和处理。提出了一种新的基于投影寻踪的视觉入侵检测分类模型,该模型通过最大化投影索引来搜索最优的投影方向,将网络连接记录从高维空间投影到一维空间,利用最佳方向上的投影值分析数据结构并对入侵类型进行分类。分类的过程和结果可以用笛卡尔坐标下的散点图可视化。在KDD CUP 1999数据集上的实验表明,该模型不仅具有良好的性能,而且使入侵检测过程变得可以理解。
A novel visual intrusion detection model based on projection pursuit
Visualized information is an useful technique that can encode large amounts of complex interrelated data, being at the same time easily quantified, manipulated, and processed by a human user. This paper presents a novel visual intrusion detection classification model based on projection pursuit, which searches for the optimal projection direction by maximizing a projection index, projects network connection records from high-dimensional space into 1-dimensional space, and uses the projection values on the best direction to analyze the data structure and classify the type of intrusion. The processes and results of classification can be visualized by a scatter chart in cartesian co-ordinates. The experiments on KDD CUP 1999 dataset show that this model not only has good performance, but also makes the process of intrusion detection understandably.