Infrastructure for Generating New IDS Dataset
| Autor: | Jozef Papan, Marek Moravcik, Jakub Hrabovsky, Pavel Scgec, Jana Uramova, Martin Kontsek |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
021110 strategic
defence & security studies business.industry Computer science 0211 other engineering and technologies Botnet 020206 networking & telecommunications Denial-of-service attack 02 engineering and technology Network monitoring Flow network Telecommunications network Work (electrical) Server 0202 electrical engineering electronic engineering information engineering Architecture Software engineering business |
| Zdroj: | 2018 16th International Conference on Emerging eLearning Technologies and Applications (ICETA). |
| DOI: | 10.1109/iceta.2018.8572201 |
| Popis: | 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]. |
| Databáze: | OpenAIRE |
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