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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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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
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e-ISSN
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Number of pages
7
Pages from-to
371-377
Publisher name
IEEE
Place of publication
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Event location
Valencie
Event date
Jun 26, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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