Project overview

The tremendous technological developments in the automotive industry today are mainly fueled by the development of vehicle-to-everything (V2X) communication capabilities and new automated driving features. Given their intrinsic requirements in terms of ultra-low latency and ultra-high reliable connectivity under high-mobility conditions, these features, as well as all the V2X communication services relaying on them, will only be unlocked over the long run with the large-scale adoption of 5G technologies along with the network-slicing paradigm.

Network slicing creates multiple logical instances of the physical network, the so-called network slices, ensuring strict traffic isolation among them, and tailoring the network resources of each slice to a specific (class of) application by leveraging the concepts of software-defined networking (SDN) and network functions virtualization (NFV). It has the potential to enable the coexistence of a wide range of mobile services in the same network infrastructure; however, enabling V2X slicing has brought new security requirements and challenges, which have not been addressed neither by 5G standards nor by automotive standards. Indeed, new slicing attack vectors will be added to traditional attacks on vehicular networks, which might jeopardize their adoption. Vehicular slicing attacks will exploit that weak point of the slicing chain, the vehicles to violate the slice isolation and deteriorate its performance. This might lead to dangerous road situations both for drivers and passengers. The attacks on vehicular slicing can be more powerful, especially if they will be combined with internal attacks, which are themselves not easy to detect.

In this context, 5G-INSIGHT aims to fill this gap by building novel security mechanisms ranging from attack detection to attack mitigation leveraging novel tools and paradigms such as those based on Machine-Learning (ML), particularly federated and deep learning, to Blockchains and Deception Security, all while considering the specific but very sensitive (in terms of security) case of cross-border areas (i.e., the France-Luxembourg border-crossing case).

Project Keywords: 5G, V2X Communication, Orchestrated Security and Privacy-aware Slicing, Single and Multiple Sources Attack, Attack Learning and Detection, Automated Attack Mitigation

Project leader:
French coordinator: Prof. Rami Langar, University of Gustave Eiffel, Rami Langar
Luxemborg Coordinator: Prof. Thomas Engel, University of Luxembourg, Thomas Engel

Starting Date: 1 st April 2021

Project Duration: 42 months


Acronym 5G-INSIGHT
Title Intelligent orchestrated security and privacy-aware slicing for 5G and beyond vehicular networks
Contract number XXXXX
Starting Date - End Date April. 1st, 2021 - September. 30, 2024
Duration 42 months
Total Manpower XX
ANR Financial Contribution 631,8 K€
FNR Financial Contribution XXX K€
Project Coordinator Rami Langar, UPMC
Thomas Engel, UL