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Description
  • We apply advanced agent trust modeling techniques to identify malicious traffic in computer networks. Our work integrates four state-of-the-art techniques from anomaly detection, and combines them by means of extended trust model. Deployment of trust model ensures interoperability between methods, allows cross-correlation of results during various stages of the detection and ensures efficient evaluation of current traffic in the context of historical observations. The goal of the system, which is designed for online monitoring of high-speed network, is to provide efficient tool for targeted runtime surveillance of malicious traffic by network operators. We aim to achieve this objective by filtering out the non-malicious (trusted) part of the traffic and submitting only potentially malicious flows for subsequent semi-automatic inspection.
  • We apply advanced agent trust modeling techniques to identify malicious traffic in computer networks. Our work integrates four state-of-the-art techniques from anomaly detection, and combines them by means of extended trust model. Deployment of trust model ensures interoperability between methods, allows cross-correlation of results during various stages of the detection and ensures efficient evaluation of current traffic in the context of historical observations. The goal of the system, which is designed for online monitoring of high-speed network, is to provide efficient tool for targeted runtime surveillance of malicious traffic by network operators. We aim to achieve this objective by filtering out the non-malicious (trusted) part of the traffic and submitting only potentially malicious flows for subsequent semi-automatic inspection. (en)
Title
  • Network Intrusion Detection by Means of Community of Trusting Agents
  • Network Intrusion Detection by Means of Community of Trusting Agents (en)
skos:prefLabel
  • Network Intrusion Detection by Means of Community of Trusting Agents
  • Network Intrusion Detection by Means of Community of Trusting Agents (en)
skos:notation
  • RIV/00216224:14610/07:00041656!RIV11-MSM-14610___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0567), V, 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
  • 436963
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14610/07:00041656
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • network intrusion detection; agent community; trust model (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [6A98BD54AAAF]
http://linked.open...v/mistoKonaniAkce
  • Los Alamitos, California
http://linked.open...i/riv/mistoVydani
  • Los Alamitos, California
http://linked.open...i/riv/nazevZdroje
  • Intelligent Agent Technology
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
  • Bartoš, Karel
  • Grill, Martin
  • Rehák, Martin
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000252477900087
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE Computer Society
https://schema.org/isbn
  • 978-0-7695-3027-7
http://localhost/t...ganizacniJednotka
  • 14610
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