Issue |
MATEC Web Conf.
Volume 200, 2018
International Workshop on Transportation and Supply Chain Engineering (IWTSCE’18)
|
|
---|---|---|
Article Number | 00002 | |
Number of page(s) | 5 | |
DOI | https://doi.org/10.1051/matecconf/201820000002 | |
Published online | 14 September 2018 |
A Game Theoretic Approach to Analyse Security between Smart Vehicles and Parcels in Smart Cities
1
EIGSI, 282 Route of the Oasis, Mâarif, 20140 Casablanca, Morocco.
2
E3MI Team, Department of Computer Science, FST Errachidia Moulay Ismail University, Morocco.
3
Department of Mathematics, Faculty of Sciences, Meknes Moulay Ismail University, Morocco
.
* e-mail: abdellaoui.e@gmail.com
** e-mail: muelmoudden@gmail.com
The Internet of Things (IoT) is considered as a modern concept that will revolutionize the near future. Its interest is to create an environment of combined intelligent devices and systems, communicating with each other through wireless networks. Urban logistics are an applicative field of this new technology, especially for smart parcels and vehicles. Actually, in the context of economy development, the competitiveness between companies and territories necessarily involves an improvement of logistics services. Although these gains offered by IoT, there are significant obstacles to counter. One of the important obstacles to consider is the security. In this paper, we will analyze the interaction between selfish smart vehicles/parcels and malicious smart vehicles/parcels, that was formulated as a game model. As a result, we have calculated the Nash equilibrium and the utilities for the both selfish smart vehicles/parcels and malicious smart vehicles/parcels, evaluated the parameters that can maximize the selfish smart vehicles/parcels’s utility when the smart parcels are transported by vehicles between different centers (shops, supermarket, etc) was planned and identify the potential malicious smart vehicles/parcels.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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