Startseite // Forschung // FSTM // DCS // Forschungspr... // Intelligent aNd orcheStrated securIty and privacy-aware slicing for 5G and beyond veHicular neTworks

Intelligent aNd orcheStrated securIty and privacy-aware slicing for 5G and beyond veHicular neTworks

Finanzierung: Fonds National de la Recherche > INTER
Anfangsdatum: 1. Februar 2021
Enddatum: 31. Januar 2024

Beschreibung

Network slicing is considered as the key technology of an agile Vehicle-to-everything deployment. However, most deployments in Europe focus on evaluating the network performance and ignore the security and privacy aspects, notably in a cross-border scenario.Building on key 5G technologies (SDN, NFV) and machine learning algorithms (federated and deep learning), 5G-INSIGHT aims at (a) proposing new techniques for road and network traffic prediction, thus allowing the early detection of intrusions and anomalies within 5G vehicular slices, (b) enforcing security-by-design and privacy-preserving slicing policies for attack mitigation and personal data anonymization, and (c) developing resource orchestration and management across multiple potential providers using federated slicing. Proposed approaches will be validated by simulations as well as by a demonstration platform (proof-of-concept) that integrates the specific characteristics of the France-Luxembourg cross-border area.

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