Intrusion Detection Systems using Data Mining Techniques: A comparative study

Mohamed Haddadi, Abdelhamid Khiat, Nacera Bahnes
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Abstract

Data mining tools are widely used in computer networks. The well-known and mostly used tools to secure computers and network systems are WEKA and TANAGRA. The purpose of this study is to compare these two tools in terms of detection accuracy and computation time. This comparison was conducted using a well-known NSL-KDD dataset. Experiments show that TANAGRA achieves better results than WEKA in detection accuracy. But, TANAGRA is competitive with WEKA in terms of computation time.
使用数据挖掘技术的入侵检测系统:比较研究
数据挖掘工具广泛应用于计算机网络。众所周知,最常用的保护计算机和网络系统的工具是WEKA和TANAGRA。本研究的目的是比较这两种工具在检测精度和计算时间方面的差异。这种比较是使用一个著名的NSL-KDD数据集进行的。实验表明,TANAGRA在检测精度上优于WEKA。但是,TANAGRA在计算时间方面与WEKA具有竞争力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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