Infrastructure for Generating New IDS Dataset

J. Uramová, Pavel Scgeč, M. Moravčík, J. Papán, M. Kontšek, Jakub Hrabovsky
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引用次数: 4

Abstract

This article describes the proposal of a system that was designed for effective network monitoring, analysis of network infiltration, and archiving of network flows for their later research. The article contains the design of an appropriate infrastructure for such a system under the conditions of the Department of Information Networks. The objective was to develop a methodology for creating a custom dataset that would contain normal network traffic and traffic with various types of attacks. Dataset can be used to test network attack detection methods that the research team is working on at the Department of Information Networks. We started with detailed analysis of the available datasets, which is an important source of information for creating a custom dataset, and to identify the imperfections of these datasets, and requirements, that a trusted dataset should meet. The article describes the course of implementation, testing and optimization of one of the possible solutions of such a system. The final part of the article informs about designing the appropriate infrastructure, and using the system for dataset creation. Articel describes also tools which were used to perform DoS, DDoS attacks and botnet architecture. The article follows the work presented in [1].
生成新的IDS数据集的基础设施
本文介绍了一个系统的设计方案,该系统可以有效地进行网络监控,分析网络渗透,并对网络流量进行归档,以供以后的研究。该条载有在信息网络部的条件下为这一系统设计适当的基础结构。目标是开发一种方法,用于创建包含正常网络流量和各种攻击类型的流量的自定义数据集。数据集可用于测试网络攻击检测方法,研究小组正在信息网络部工作。我们首先详细分析了可用数据集(这是创建自定义数据集的重要信息源),并确定了这些数据集的缺陷和可信数据集应满足的要求。本文描述了该系统的一种可能解决方案的实现、测试和优化过程。本文的最后一部分介绍了如何设计适当的基础设施,以及如何使用系统创建数据集。文章还描述了用于执行DoS, DDoS攻击和僵尸网络架构的工具。本文继承了文献[1]中的工作。
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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