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Description
  • Our work presents a mechanism designed for the selection of the optimal information provider in a multi-agent, heterogeneous and unsupervised monitoring system. The self-adaptation mechanism is based on the insertion of a small set of prepared challenges that are processed together with the real events observed by the system. The evaluation of the system response to these challenges is used to select the optimal information source. Our algorithm uses the concept of trust to identify the best source and to optimize the number of challenges inserted into the system. The mechanism is designed for intrusion/fraud detection systems, which are frequently deployed as part of online transaction processing (banking, telecommunications or process monitoring systems). Our approach features unsupervised adjustment of its configuration and dynamic adaptation to the changing environment, which are both vital for these domains.
  • Our work presents a mechanism designed for the selection of the optimal information provider in a multi-agent, heterogeneous and unsupervised monitoring system. The self-adaptation mechanism is based on the insertion of a small set of prepared challenges that are processed together with the real events observed by the system. The evaluation of the system response to these challenges is used to select the optimal information source. Our algorithm uses the concept of trust to identify the best source and to optimize the number of challenges inserted into the system. The mechanism is designed for intrusion/fraud detection systems, which are frequently deployed as part of online transaction processing (banking, telecommunications or process monitoring systems). Our approach features unsupervised adjustment of its configuration and dynamic adaptation to the changing environment, which are both vital for these domains. (en)
Title
  • Dynamic Information Source Selection for Intrusion Detection Systems
  • Dynamic Information Source Selection for Intrusion Detection Systems (en)
skos:prefLabel
  • Dynamic Information Source Selection for Intrusion Detection Systems
  • Dynamic Information Source Selection for Intrusion Detection Systems (en)
skos:notation
  • RIV/68407700:21230/09:00158336!RIV10-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • 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
  • 311627
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/09:00158336
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • trust; service selection; security; intrusion detection (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [5DFEA65C0A3D]
http://linked.open...v/mistoKonaniAkce
  • Budapest
http://linked.open...i/riv/mistoVydani
  • New York
http://linked.open...i/riv/nazevZdroje
  • Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Pěchouček, Michal
  • Bartoš, Karel
  • Grill, Martin
  • Rehák, Martin
  • Stiborek, Jan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • ACM Press
https://schema.org/isbn
  • 978-0-9817381-7-8
http://localhost/t...ganizacniJednotka
  • 21230
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