| Titre : | Study of heterogeneous vehicular networks (HetVNETs) | | Type de document : | document multimédia | | Auteurs : | Sofiane Dahmane, Auteur ; Mohamed Bachir Yagoubi, Directeur de thèse ; Pascal Lorenz, Directeur de thèse | | Editeur : | Laghouat : Université Amar Telidji - Département d'informatique | | Année de publication : | 2024 | | Importance : | 149 p. | | Langues : | Anglais | | Mots-clés : | HetVNET V2X Edge computing Blockchain Federated learning Security and safety | | Résumé : | Heterogeneous Vehicular Networks (HetVNETs), owing to their versatile range of applications, face an array of security threats. This thesis has provided insights into the essential security and safety requirements, threats, and defense mechanisms within HetVNETs. Our primary focus has been on incorporating innovative technologies to devise secure proposals that better suit the HetVNET environment.
In order to handle security and safety issues in HetVNETs, we have proposed four different secure solutions: FedSel, SecFly, STHM, and V2X-based pandemic severity reduction solution. Each of these solutions consider different communication scenarios, security issues, and applications. Regarding FedSel proposal, it uses blockchain and edge computing alongside with AI paradigm to guarantee a secure UAV selection and to offer a distributed and low-latency UAV selection process.
Our SecFly solution, presents an architecture for the Internet of Flying Things (IoFT), assisted mobile edge computing (MEC), and Blockchain Technology. This architecture is designed to enhance the security of diverse UAV-to-everything communications. For the third proposal, STHM, we introduce a secure, real-time, and remote patient healthcare monitoring architecture that leverages Blockchain and SDN technologies. Additionally, our fourth proposal outlines a system that integrates V2X technology and blockchain to address the challenges posed by the COVID-19 pandemic. | | note de thèses : | Thèse de doctorat en informatique |
Study of heterogeneous vehicular networks (HetVNETs) [document multimédia] / Sofiane Dahmane, Auteur ; Mohamed Bachir Yagoubi, Directeur de thèse ; Pascal Lorenz, Directeur de thèse . - Laghouat : Université Amar Telidji - Département d'informatique, 2024 . - 149 p. Langues : Anglais | Mots-clés : | HetVNET V2X Edge computing Blockchain Federated learning Security and safety | | Résumé : | Heterogeneous Vehicular Networks (HetVNETs), owing to their versatile range of applications, face an array of security threats. This thesis has provided insights into the essential security and safety requirements, threats, and defense mechanisms within HetVNETs. Our primary focus has been on incorporating innovative technologies to devise secure proposals that better suit the HetVNET environment.
In order to handle security and safety issues in HetVNETs, we have proposed four different secure solutions: FedSel, SecFly, STHM, and V2X-based pandemic severity reduction solution. Each of these solutions consider different communication scenarios, security issues, and applications. Regarding FedSel proposal, it uses blockchain and edge computing alongside with AI paradigm to guarantee a secure UAV selection and to offer a distributed and low-latency UAV selection process.
Our SecFly solution, presents an architecture for the Internet of Flying Things (IoFT), assisted mobile edge computing (MEC), and Blockchain Technology. This architecture is designed to enhance the security of diverse UAV-to-everything communications. For the third proposal, STHM, we introduce a secure, real-time, and remote patient healthcare monitoring architecture that leverages Blockchain and SDN technologies. Additionally, our fourth proposal outlines a system that integrates V2X technology and blockchain to address the challenges posed by the COVID-19 pandemic. | | note de thèses : | Thèse de doctorat en informatique |
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Study of heterogeneous vehicular networks (HetVNETs) / Sofiane Dahmane
