不可用
计算机科学
水准点(测量)
足迹
集合(抽象数据类型)
入侵检测系统
数据集
数据挖掘
计算机网络
人工智能
工程类
地理
大地测量学
考古
可靠性工程
程序设计语言
作者
Nour Moustafa,Jill Slay
出处
期刊:Military Communications and Information Systems Conference
日期:2015-11-01
被引量:1580
标识
DOI:10.1109/milcis.2015.7348942
摘要
One of the major research challenges in this field is the unavailability of a comprehensive network based data set which can reflect modern network traffic scenarios, vast varieties of low footprint intrusions and depth structured information about the network traffic. Evaluating network intrusion detection systems research efforts, KDD98, KDDCUP99 and NSLKDD benchmark data sets were generated a decade ago. However, numerous current studies showed that for the current network threat environment, these data sets do not inclusively reflect network traffic and modern low footprint attacks. Countering the unavailability of network benchmark data set challenges, this paper examines a UNSW-NB15 data set creation. This data set has a hybrid of the real modern normal and the contemporary synthesized attack activities of the network traffic. Existing and novel methods are utilised to generate the features of the UNSWNB15 data set. This data set is available for research purposes and can be accessed from the link.
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