Public domain datasets for optimizing network intrusion and machine learning approaches
作者： Maznan Deraman , Abd Jalil Desa , Zulaiha Ali Othman
关键词:
摘要: Network intrusion detection system (NIDS) commonly attributed to the task mitigate network and security attacks that has potential compromise safety of a resources its information. Research in this area mainly focuses improve method traffic flow. Machine learning techniques had been widely used analyze large datasets including traffic. In order develop sound mechanism for NIDS tool, benchmark is required assist data mining process. This paper presents available publicly study such as KDDCup99, IES, pcapr others. We use some popular machine tools visualize properties characteristics datasets.
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