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Description
  • Network Behavior Analysis techniques are designed to detect intrusions and other undesirable behavior in computer networks by analyzing the traffic statistics. We present an efficient framework for integration of anomaly detection algorithms working on the identical input data. This framework is based on high-speed network traffic acquisition subsystem and on trust modeling, a well-established set of techniques from the multi-agent system field. Trust-based integration of algorithms results in classification with lower error rate, especially in terms of false positives. The presented framework is suitable for both online and offline processing, and introduces a relatively low computational overhead compared to deployment of isolated anomaly detection algorithms.
  • Network Behavior Analysis techniques are designed to detect intrusions and other undesirable behavior in computer networks by analyzing the traffic statistics. We present an efficient framework for integration of anomaly detection algorithms working on the identical input data. This framework is based on high-speed network traffic acquisition subsystem and on trust modeling, a well-established set of techniques from the multi-agent system field. Trust-based integration of algorithms results in classification with lower error rate, especially in terms of false positives. The presented framework is suitable for both online and offline processing, and introduces a relatively low computational overhead compared to deployment of isolated anomaly detection algorithms. (en)
Title
  • Collaborative Approach to Network Behavior Analysis
  • Collaborative Approach to Network Behavior Analysis (en)
skos:prefLabel
  • Collaborative Approach to Network Behavior Analysis
  • Collaborative Approach to Network Behavior Analysis (en)
skos:notation
  • RIV/00216224:14330/08:00033712!RIV11-MSM-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0567), V, Z(MSM6383917201), Z(MSM6840770038)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 360346
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/08:00033712
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • network behavior analysis; network intrusion detection; collaborative approach (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [E5FED183E844]
http://linked.open...v/mistoKonaniAkce
  • Londýb
http://linked.open...i/riv/mistoVydani
  • Berlín
http://linked.open...i/riv/nazevZdroje
  • Global E-Security
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Pěchouček, Michal
  • Čeleda, Pavel
  • Krmíček, Vojtěch
  • Bartoš, Karel
  • Grill, Martin
  • Rehák, Martin
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000259141100019
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
issn
  • 1865-0929
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-540-69402-1
http://localhost/t...ganizacniJednotka
  • 14330
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