Phis-Lbp: Feature Descriptor for Vehicle Detection

International audience

Système d'Inférence floue pour adapter dynamiquement le temps de réservation des ressources/amélioration de la sécurité

Dsdivn: A Distributed Software-Defined Networking Architecture for Infrastructure-Less Vehicular Networks

International audience; In the last few years, the emerging network architecture paradigm of Software-Defined Networking (SDN), has become one of the most important technology to manage large scale networks such as Vehicular Ad-hoc Networks (VANETs). Recently, several works have shown interest in the use of SDN paradigm in VANETs. SDN brings flexibility, scalability and management facility to current VANETs. However, almost all of proposed Software-Defined VANET (SDVN) architectures are infrastructure-based. This paper will focus on how to enable SDN in infrastructure-less vehicular environments. For this aim, we propose a novel distributed SDN-based architecture for uncovered infrastructur…

Hints: Hybrid Integration between Network and Traffic Simulators

International audience

Edge Computing-enabled Intrusion Detection for C-V2X Networks using Federated Learning

Intrusion detection systems (IDS) have already demonstrated their effectiveness in detecting various attacks in cellular vehicle-to-everything (C-V2X) networks, especially when using machine learning (ML) techniques. However, it has been shown that generating ML-based models in a centralized way consumes a massive quantity of network resources, such as CPU/memory and bandwidth, which may represent a critical issue in such networks. To avoid this problem, the new concept of Federated Learning (FL) emerged to build ML-based models in a distributed and collaborative way. In such an approach, the set of nodes, e.g., vehicles or gNodeB, collaborate to create a global ML model trained across thes…

Game-Based Adaptive Security for the Internet of Things

International audience

La place du véhicule autonome pour une mobilité propre

As part of the principal components related to the digital revolution, the autonomous vehicle is standard-bearer designed to drastically change our habits in terms of mobility. Besides the expected important progresses in terms of security, the autonomous vehicle should provide an impact on the environmental level as well. This article gives an overview of current and long-term progresses expected around the autonomous vehicle concept.

Intrusion detection and prevention in Internet of Vehicles

International audience

Electrical Vehicles Platooning

International audience

Nouvelle stratégie de contrôle éco-énergétique pour les véhicules hybrides et électriques – Gestion de la batterie et optimisation prédictive

Complémentarité entre réseau véhiculaire et réseau LTE

A Social Spider Optimisation Algorithm for 3D Unmanned Aerial Base Stations Placement

International audience; In recent years, the use of drones as aerial base stations (ABS) has attracted the attention of both scientific and industrial communities as a promising solution to enhance the network coverage. However, their deployment brings out many challenges and restrictions. In this work, we model a realistic, constrained scenario where unmanned aerial vehicles (UAVs) are used as ABSs along with traditional ground base stations (GBSs) to extend their coverage. We propose a scalable and efficient social spider optimization (SSO) algorithm that determines the placement of UAVs and their association with both user equipments (UEs) and GBSs. Extensive computational experiments we…

PV-Alert: Fog Computing based Architecture for Safeguarding Vulnerable Road Users

High volumes of pedestrians, cyclists and other vulnerable road users (VRUs) have much higher casualty rates per mile; not surprising given their lack of protection from an accident. In order to alleviate the problem, sensing capabilities of smartphones can be used to detect, warn and safeguard these road users. In this research we propose an infrastructure-less fog-based architecture named PV-Alert (Pedestrian-Vehicle Alert) where fog nodes process delay sensitive data obtained from smartphones for alerting pedestrians and drivers before sending the data to the cloud for further analysis. Fog computing is considered in developing the architecture since it is an emerging paradigm that has p…

Dynamic management of reconfigurable logical computing areas: A real-time system for pedestrian detection in video

International audience

Routage Géographique Dans Les Réseaux Ad Hoc Véhiculaires

International audience

New Multipath Routing for an Efficient Traffic Distribution and Energy Consuption for Mobile Ad Hoc Networks

International audience

Sécurité Des Communications Pour Véhicules Coopératifs

International audience

Optimizing Electric Vehicles Integration into the Smart Grid : A Game Theoretic Approach

International audience

Véhicule Intelligent

International audience

Nouvelle stratégie de contrôle éco-énergétique pour les véhicules hybrides et électriques – Gestion de la batterie et optimisation prédictive

Quand le réseau prend le relai du service dans les voitures

International audience

DRIVE-B5G: A Flexible and Scalable Platform Testbed for B5G-V2X Networks

Security Issues and Solutions in Smart Grid: FUSE-IT European Project Use-case

International audience; As we transition to more complex, higher performing and energy efficient buildings, it is apparentthat traditional Building Management Systems (BMS) are not up to the task of monitoring andmanaging today’s building operations. Therefore, the need for sustainable, reliable, user-friendly,efficient, safe and secure BMS in the context of smart critical sites is being crucial. FUSE-ITEuropean project is the ICT experts’ response that aims to develop a smart secured buildingsystem, incorporating secured share sensors, effectors and devices strongly interconnectedthrough trusted federated energy & information networks, a core building data processing &analysis module, a sm…