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Decentralized Evaluation of Trust in Ad Hoc Networks using Neural Networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F22%3A00365364" target="_blank" >RIV/68407700:21240/22:00365364 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/9941360" target="_blank" >https://ieeexplore.ieee.org/document/9941360</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/WIMOB55322.2022.9941360" target="_blank" >10.1109/WIMOB55322.2022.9941360</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Decentralized Evaluation of Trust in Ad Hoc Networks using Neural Networks

  • Original language description

    Trust is an essential concept in ad hoc network security. Creating and maintaining trusted relationships between nodes is a challenging task. This paper proposes a decentralized method for evaluating trust in ad hoc networks. The method uses neural networks and local information to predict the trust of neighboring nodes. The method was compared with the original centralized version, showing that even without global information knowledge, the method has, on average, 97% accuracy in classification and 94% in regression problem. An important contribution of this paper is overcoming the main limitation of the original method, which is the centralized evaluation of trust. Moreover, the decentralized method output is a perfect fit to use as an input to enhance routing in ad hoc 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

    2022

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)

  • ISBN

    978-1-6654-6975-3

  • ISSN

    2160-4886

  • e-ISSN

    2160-4894

  • Number of pages

    6

  • Pages from-to

    30-35

  • Publisher name

    IEEE Computer Society

  • Place of publication

    USA

  • Event location

    Thessaloniki (Soluň)

  • Event date

    Oct 10, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000936188900038