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Enhanced Network Intrusion Detection System Protocol for Internet of Things

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F20%3A00115140" target="_blank" >RIV/00216224:14330/20:00115140 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1145/3341105.3373867" target="_blank" >http://dx.doi.org/10.1145/3341105.3373867</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3341105.3373867" target="_blank" >10.1145/3341105.3373867</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Enhanced Network Intrusion Detection System Protocol for Internet of Things

  • Original language description

    With the emergence of the Internet of Things (IoT), different IoT nodes such as 6LoWPAN devices can be connected as a network to provide integrated services. Since security and intrusion detection are becoming crucial among IoT devices, real-time detection of the attacks are critical to protect the IoT networks. However, there exists limited research for efficient network intrusion detection systems (NIDS) in the IoT networks. This paper therefore proposes a new NIDS protocol with an efficient replica detection algorithm to increase the utility and performance of existing NIDS, where a number of replica test nodes are intentionally inserted into the network to test the reliability and response of witness nodes. The proposed protocol, Enhanced NIDS, can address the vulnerability of NIDS and improve IoT network security to detect severe compromise attacks such as clone attacks. The simulation study shows that compared to the state-of-the-art SVELTE protocol, the proposed protocol can significantly increase the detection probability and reduce the energy consumption for detecting clone attacks in IoT networks.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • 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 35th ACM/SIGAPP Symposium On Applied Computing

  • ISBN

    9781450368667

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    1156-1163

  • Publisher name

    ACM Publishing

  • Place of publication

    Brno, Czech Republic

  • Event location

    Brno, Czech Republic

  • Event date

    Jan 1, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000569720900166