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首页> 外文期刊>Journal of Theoretical and Applied Information Technology >ALERT CORRELATION USING SUPPORT VECTOR MACHINE FOR MULTI INTRUSION DETECTION SYSTEMS
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ALERT CORRELATION USING SUPPORT VECTOR MACHINE FOR MULTI INTRUSION DETECTION SYSTEMS

机译:使用支持向量机的多入侵检测系统进行警报关联

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摘要

This paper presents a new alert correlation model for multiple intrusion detection systems. Based on the analysis of the complex relationship between the alert information of the intrusion detection system, an alert fusion model is proposed and used to alert correlation. The SVM algorithm has an advantage in the multi-dimensional classification, which can further reduce the influence of false positives and false negatives. The experimental results show that the alert fusion model has high accuracy and low false positive.
机译:本文提出了一种用于多个入侵检测系统的新警报关联模型。在分析入侵检测系统的预警信息之间的复杂关系的基础上,提出了一种预警融合模型并将其用于预警关联。 SVM算法在多维分类中具有优势,可以进一步减少误报和误报的影响。实验结果表明,预警融合模型具有较高的准确性和较低的误报率。

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