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Flow-based Brute-force Attack Detection
Institute of Computer Science, Masaryk University, Czech Republic.
Institute of Computer Science, Masaryk University, Czech Republic.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science. (PriSec)
2013 (English)In: Advances in IT Early Warning / [ed] Peter Schoo, Markus Zeilinger & Eckehard Hermann, Fraunhofer Verlag , 2013, 1Chapter in book (Other academic)
Abstract [en]

Brute-force attacks are a prevalent phenomenon that is getting harderto successfully detect on a network level due to increasing volume and en-cryption of network traffic and growing ubiquity of high-speed networks.Although the research in this field advanced considerably, there still remainclasses of attacks that are undetectable. In this chapter, we present sev-eral methods for the detection of brute-force attacks based on the analysisof network flows. We discuss their strengths and shortcomings as well asshortcomings of flow-based methods in general. We also demonstrate thefragility of some methods by introducing detection evasion techniques.

Place, publisher, year, edition, pages
Fraunhofer Verlag , 2013, 1.
Keyword [en]
netflow, flow-based attack detection, intrusion detection
National Category
Computer Systems
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-26613ISBN: 978-3-8396-0474-8 (print)OAI: oai:DiVA.org:kau-26613DiVA: diva2:610848
Available from: 2013-03-28 Created: 2013-03-13 Last updated: 2013-03-28Bibliographically approved

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fulltext(310 kB)241 downloads
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CiteExportLink to record
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