期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2016
卷号：35
期号：1
页码：38-47
DOI：10.14445/22312803/IJCTT-V35P107
出版社：Seventh Sense Research Group
摘要：This paper is having a comparative review on different classifiers used for prediction of attack risks on environment having network. In total there are 19 classifiers explained in this paper and the three best or efficient classifiers have been evaluated by three different authors as mentioned in this paper. The data of those three authors has been used in this paper for doing comparison between different classification algorithms. Comparison are taken on the fields of TPRate, FPRate, Precision, Recall, Fmeasure etc. Anlaysis was done by those mentioned authors on WEKA tool.
关键词：Classification Algorithms; IntrusionDetection System; Meta Classifier; Decision Trees;Machine Learning; Data Mining; WEKA
