Titlebook: Vehicular Ad-hoc Networks for Smart Cities; Third International Anis Laouiti,Amir Qayyum,Mohamad Naufal Mohamad Sa Conference proceedings

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2194-5357 from both academia and industry.Includes recent research on .This book presents selected papers from the Third International Workshop on Vehicular .Ad-hoc Networks for Smart Cities, Paris, 2019. Future smart cities are well placed to profit from extraordinary mobile infrastructures. IWVSC‘2019 bring

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Software-Defined Networking for Emergency Traffic Management in Smart Citieswhich despite growing congestion must be able to quickly reach their destination. Emergency vehicles are usually equipped with transmitters to control the traffic lights on their path and warn other vehicles with sirens. Transmitters are operated manually and, like sirens, have a limited range. Smar

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Towards a Reliable Machine Learning-Based Global Misbehavior Detection in C–ITS: Model Evaluation Ap The detection is based on local misbehavior detection information sent by Vehicle’s On–Board Units (OBUs) and by Road–Side Units (RSUs) called Misbehavior Reports (MBRs) to the MA. By analyzing these Misbehavior Reports (MBRs), the MA is able to compute various misbehavior detection information. In

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A RINA-Based Security Architecture for Vehicular NetworksVANET) context. We especially show that it can address by design the security requirements in order to insure a secure Vehicular Ad hoc Network. Moreover, we detail how the ETSI security architecture designed for VANET can be naturally integrated in RINA.