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Application of neural networks for decision making and evaluation of trust in ad-hoc networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F17%3A00314167" target="_blank" >RIV/68407700:21240/17:00314167 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/document/7986315/" target="_blank" >http://ieeexplore.ieee.org/document/7986315/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/IWCMC.2017.7986315" target="_blank" >10.1109/IWCMC.2017.7986315</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Application of neural networks for decision making and evaluation of trust in ad-hoc networks

  • Original language description

    In this paper, we demonstrate that neural networks (NNs) are capable of trust estimation and evaluation in ad-hoc networks. The concept of trust in distributed systems arose from the notion of social trust. By the trust problem, we understand the problem of measuring the confidence in the fact that individual nodes behave correctly. We model trust in ad-hoc networks using the packet delivery ratio (PDR) metric. We have developed a method to apply NNs for solving the trust problem in ad-hoc networks. We have conducted a series of simulation experiments and measured the quality of our new method. The results show in average 98% accuracy of the classification and 94% of the regression problem. An important contribution of our research is a verification of the hypothesis that synthetic generation of ad-hoc network traffic in a simulator is sufficient for training of a NN that is then capable to accurately estimate trust in an ad-hoc network.

  • 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

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    13th International Wireless Communications and Mobile Computing Conference(IWCMC)

  • ISBN

    978-1-5090-4372-9

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    371-377

  • Publisher name

    IEEE

  • Place of publication

  • Event location

    Valencie

  • Event date

    Jun 26, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article