Titlebook: Communication Technologies for Vehicles; 10th International W Jaizki Mendizabal,Marion Berbineau,Hasnaa Aniss Conference proceedings 2016 S

凝視

Machine Learning for Autonomic Network Management in a Connected Cars Scenarion software, with the ultimate goal of being self-managed. Machine Learning is a key technology to reach the vision of a 5G self-managing network. This new paradigm will significantly impact on connected vehicles, fostering a new wave of possibilities. This paper presents a preliminary approach towar

Expediency

Vehicular Ad-hoc Network’s Privacy Assessment Based on Attack Treeignore that this kind of networks request further work to provide different privacy related issues. Meaning that, the private data of users of this kind of network have to be prevented from different threats that may abuse their privacy. In this paper we propose an overall sight on the privacy threa

改良

deciduous

悶熱

丑惡

Standardisation Roadmap for Next Train Radio Telecommunication Systems fit rail community requirements in replacement of GSM-R (Global System for Mobile communications - Railways). Evolutions of 3GPP LTE are candidates, but 5G could jump in the list. This paper aims at providing an overview of current 3GPP status and roadmap toward 5G, and its level of compatibility w

Gentry

cleaver

W. F. List,M. M. Müller,M. J. McQueen fit rail community requirements in replacement of GSM-R (Global System for Mobile communications - Railways). Evolutions of 3GPP LTE are candidates, but 5G could jump in the list. This paper aims at providing an overview of current 3GPP status and roadmap toward 5G, and its level of compatibility w

helper-T-cells

https://doi.org/10.1007/978-981-13-1861-0cular system use case, in order to retrieve from it different informations in order to evaluate the system. Countermeasures could be added to the attack trees, that leads to the attack-defense tree model.

Intrepid

Modeling of VANET for BSM Safety Messaging at Intersections with Non-homogeneous Node Distribution