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  • We present an empirical study of distributed adaptationin an Intrusion Detection System. The adaptation modelis based on a game-theoretical approach and we use regretminimization techniques to find globally robust behavior. Wecompare the effectiveness of global optimization, when all systemcomponents adopt the globally optimized strategy in a synchronizedmanner, with a fully distributed approach when two layersin the system adapt their strategies as a result of local adaptationprocess, with no synchronization or signaling. We show that theuse of regret minimization techniques results in stable and longtermoptimized behavior in both cases. Our experiments wereperformed on CAMNEP, an intrusion detection system.
  • We present an empirical study of distributed adaptationin an Intrusion Detection System. The adaptation modelis based on a game-theoretical approach and we use regretminimization techniques to find globally robust behavior. Wecompare the effectiveness of global optimization, when all systemcomponents adopt the globally optimized strategy in a synchronizedmanner, with a fully distributed approach when two layersin the system adapt their strategies as a result of local adaptationprocess, with no synchronization or signaling. We show that theuse of regret minimization techniques results in stable and longtermoptimized behavior in both cases. Our experiments wereperformed on CAMNEP, an intrusion detection system. (en)
Title
  • On the Value of Coordination in Distributed Self-Adaptation of Intrusion Detection System
  • On the Value of Coordination in Distributed Self-Adaptation of Intrusion Detection System (en)
skos:prefLabel
  • On the Value of Coordination in Distributed Self-Adaptation of Intrusion Detection System
  • On the Value of Coordination in Distributed Self-Adaptation of Intrusion Detection System (en)
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  • RIV/68407700:21230/11:00181829!RIV12-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ME10051), P(MEB111008), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 218308
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  • RIV/68407700:21230/11:00181829
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  • DS; Adaptation; Game Theory; Regret minimization (en)
http://linked.open.../riv/klicoveSlovo
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  • [C30F19F4E605]
http://linked.open...v/mistoKonaniAkce
  • Lyon
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  • Los Alamitos, CA
http://linked.open...i/riv/nazevZdroje
  • Proceedings Web Intelligence and Intelligent Agent Technology WI-IAT11
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  • Grill, Martin
  • Rehák, Martin
  • Stiborek, Jan
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number of pages
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  • IEEE Computer Soc.
https://schema.org/isbn
  • 978-0-7695-4513-4
http://localhost/t...ganizacniJednotka
  • 21230
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