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Multi-Agent Approach to Network Intrusion Detection (Demo Paper)

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F08%3A00033495" target="_blank" >RIV/00216224:14330/08:00033495 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Multi-Agent Approach to Network Intrusion Detection (Demo Paper)

  • Original language description

    Our demo presents an agent-based intrusion detection system designed for deployment on high-speed backbone networks. The major contribution of the system is the integration of several anomaly detection techniques by means of collective trust modeling within a group of collaborative detection agents, each featuring a specific detection algorithm. The principal role of anomalies is to provide the input into the trust modeling stage of the detection, where each agent determines the flow trustfulness from aggregated anomalies. The aggregation is performed by extended trust models that model the trustfulness of generalized situated identities, represented by a set of observable features. The system is based on traffic statistics in NetFlow format acquired by dedicated hardware-accelerated network cards, and is able to perform a real-time surveillance of the gigabit networks.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2008

  • 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 7th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008) - Industrial and Applications Track

  • ISBN

    978-0-9817381-3-0

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

  • Publisher name

    Inesc-Id

  • Place of publication

    Estoril

  • Event location

    Estoril, Portugalsko

  • Event date

    Jan 1, 2008

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article