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Intrusion detection in wireless sensor networks by an ensemble of artificial neural networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10244287" target="_blank" >RIV/61989100:27240/19:10244287 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007%2F978-981-13-8311-3_28" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-981-13-8311-3_28</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-981-13-8311-3_28" target="_blank" >10.1007/978-981-13-8311-3_28</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Intrusion detection in wireless sensor networks by an ensemble of artificial neural networks

  • Original language description

    Wireless sensor and actuator networks are essential components of modern technologies and infrastructures for smart homes and cities, intelligent transportation systems, advanced manufacturing, Internet of things and, for example, fog and edge computing. Cybersecurity of such massively distributed systems is becoming a major issue, and advanced methods to improve their safety and reliability are needed. Intrusion detection systems automatically identifymalicious network traffic, uncover cybernetic attacks and notify network users and operators. In this work, a novel strategy for intrusion detection in wireless sensor networks based on accurate neural models of specific attacks learned from network traffic data is proposed and evaluated.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

    <a href="/en/project/EF16_019%2F0000867" target="_blank" >EF16_019/0000867: Research Centre of Advanced Mechatronic Systems</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Smart Innovation, Systems and Technologies. Volume 142

  • ISBN

    978-981-13-8310-6

  • ISSN

    2190-3018

  • e-ISSN

    2190-3026

  • Number of pages

    11

  • Pages from-to

    323-333

  • Publisher name

    Springer

  • Place of publication

    Singapur

  • Event location

    St. Julian

  • Event date

    Jun 17, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article