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Decision Support for Intrusion Detection Data Collection
Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Computer Science. Karlstad University, Faculty of Economic Sciences, Communication and IT, Centre for HumanIT.ORCID iD: 0000-0003-0778-4736
2008 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Data collection is a critical but difficult activity for intrusion detection. The amount of resources that must be monitored and the rate at which events are generated makes it impossible to use an exhaustive collection strategy. Furthermore, selection and configuration of data collection mechanisms is a tedious and elaborate task for both designers and operators. Therefore, we propose a decision support system (DSS) for selecting and configuring data collection mechanisms. We suggest a generic system model for selecting data collection mechanisms based on the amount of excess data produced. We also provide an implementation of the system. The DSS reduces effort, time, and expertise required in the selection process, and allows both designers and operators to focus on intrusion detection rather than selection and configuration of data collection mechanisms

Place, publisher, year, edition, pages
Copenhagen, Denmark, 2008.
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-18059OAI: oai:DiVA.org:kau-18059DiVA, id: diva2:591683
Conference
Proceedings of the 13th Nordic Workshop on Secure IT Systems (NordSec 2008)
Available from: 2013-01-21 Created: 2013-01-21 Last updated: 2018-01-11

Open Access in DiVA

No full text in DiVA

Other links

http://www.cs.kau.se/~stefan/publications/NordSec08/paper.pdf

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Lindskog, Stefan

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Citation style
  • apa
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  • ieee
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Output format
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