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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)
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Title
| - CAMNEP: An intrusion detection system for high-speed networks
- CAMNEP: An intrusion detection system for high-speed networks (en)
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skos:prefLabel
| - CAMNEP: An intrusion detection system for high-speed networks
- CAMNEP: An intrusion detection system for high-speed networks (en)
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skos:notation
| - RIV/00216224:14330/08:00033418!RIV11-MSM-14330___
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
| - P(1M0567), V, Z(MSM6840770038)
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http://linked.open...iv/cisloPeriodika
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/00216224:14330/08:00033418
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - intrusion detection network; behavior analysis; multi-agent system; trust; anomaly detection (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...odStatuVydavatele
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http://linked.open...ontrolniKodProRIV
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http://linked.open...i/riv/nazevZdroje
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...vavai/riv/projekt
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http://linked.open...UplatneniVysledku
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http://linked.open...v/svazekPeriodika
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http://linked.open...iv/tvurceVysledku
| - Pěchouček, Michal
- Čeleda, Pavel
- Krmíček, Vojtěch
- Bartoš, Karel
- Grill, Martin
- Rehák, Martin
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http://linked.open...n/vavai/riv/zamer
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issn
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number of pages
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http://localhost/t...ganizacniJednotka
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is http://linked.open...avai/riv/vysledek
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