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Description
  • The presented research aims to detect malicious traffic in high speed networks by means of correlated anomaly detection methods. In order to acquire the real-time traffic statistics in NetFlow format, we deploy transparent inline probes based on FPGA elements. They provide traffic statistics to the agent-based detection layer, where each agent uses a specific anomaly detection method to detect anomalies and describe the flows in its extended trust model. The agents share the anomaly assessments of individual network flows that are used as an input for the agents trust models. The trustfulness values of individual flows from all agents are combined to estimate their maliciousness. The estimate of trust is subsequently used to filter out the most significant events that are reported to network operators for further analysis.
  • The presented research aims to detect malicious traffic in high speed networks by means of correlated anomaly detection methods. In order to acquire the real-time traffic statistics in NetFlow format, we deploy transparent inline probes based on FPGA elements. They provide traffic statistics to the agent-based detection layer, where each agent uses a specific anomaly detection method to detect anomalies and describe the flows in its extended trust model. The agents share the anomaly assessments of individual network flows that are used as an input for the agents trust models. The trustfulness values of individual flows from all agents are combined to estimate their maliciousness. The estimate of trust is subsequently used to filter out the most significant events that are reported to network operators for further analysis. (en)
Title
  • CAMNEP: An intrusion detection system for high-speed networks
  • CAMNEP: An intrusion detection system for high-speed networks (en)
skos:prefLabel
  • CAMNEP: An intrusion detection system for high-speed networks
  • CAMNEP: An intrusion detection system for high-speed networks (en)
skos:notation
  • RIV/00216224:14330/08:00033418!RIV11-MSM-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0567), V, Z(MSM6840770038)
http://linked.open...iv/cisloPeriodika
  • 5
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
  • 358758
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/08:00033418
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • intrusion detection network; behavior analysis; multi-agent system; trust; anomaly detection (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • JP - Japonsko
http://linked.open...ontrolniKodProRIV
  • [582FC8E9E6A6]
http://linked.open...i/riv/nazevZdroje
  • Progress in Informatics
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...v/svazekPeriodika
  • 2008
http://linked.open...iv/tvurceVysledku
  • Pěchouček, Michal
  • Čeleda, Pavel
  • Krmíček, Vojtěch
  • Bartoš, Karel
  • Grill, Martin
  • Rehák, Martin
http://linked.open...n/vavai/riv/zamer
issn
  • 1349-8614
number of pages
http://localhost/t...ganizacniJednotka
  • 14330
is http://linked.open...avai/riv/vysledek of
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