The Role of Datasets when Building Next Generation Intrusion Detection Systems

被引：0

作者：

Nazarov, A. N. ^{[1
]}

Sychev, A. K. ^{[2
]}

Voronkov, I. M. ^{[3
]}

机构：

[1] Russian Acad Sci, Fed Res Ctr Comp Sci & Control, Moscow, Russia

[2] LLC SSEC Serv, Moscow, Russia

[3] Int Ctr Informat & Elect InterEVM, Moscow, Russia

来源：

2019 WAVE ELECTRONICS AND ITS APPLICATION IN INFORMATION AND TELECOMMUNICATION SYSTEMS (WECONF) | 2019年

关键词：

dataset; IDS; machine learning; computer attack; modeling;

D O I：

暂无

中图分类号：

O59 [应用物理学];

学科分类号：

摘要：

The article describes the shortcomings of the modern datasets used in the development of next-generation intrusion detection systems and proposed new requirements for datasets. Based on the requirements, new software architecture has been proposed, which allows to model modern computer attacks and at the same time "mark up" logs generated on hosts and by network traffic. Using the proposed software architecture, it is possible to create datasets that will contain tagged instances with features both from host logs and from network traffic. This will allow using collected dataset when building next-generation intrusion detection systems (IDS).

引用

页数：4

共 12 条

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