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Dynamic Information Source Selection for Intrusion Detection Systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F09%3A00158336" target="_blank" >RIV/68407700:21230/09:00158336 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Dynamic Information Source Selection for Intrusion Detection Systems

  • Original language 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 challengesthat 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 andto 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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2009

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems

  • ISBN

    978-0-9817381-7-8

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

  • Publisher name

    ACM Press

  • Place of publication

    New York

  • Event location

    Budapest

  • Event date

    May 10, 2009

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article