nIoVe: A novel Adaptive Cybersecurity Framework for the Internet-of-Vehicles
| Funding Agency: | European Union’s Horizon 2020 research and innovation programme |
| Duration: | 3 years, 01.05.2019 – 31.08.2022 |
| Partners: |
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| Project Coordinatior (TUM part): | Prof. Dr. Sebastian Steinhorst (sebastian.steinhorst(at)tum.de) |
| Contact (ESI) | Dr. Mohammad Hamad (mohammad.hamad(at)tum.de) Jan Lauinger (jan.lauinger(at)tum.de) |
| Project home: | https://www.niove.eu/ |
Overall Concept
Summary
The nIoVe project is proposing a novel multi-layered Cybersecurity Framework as a comprehensive approach for assessing and reducing cyber-attacks in Internet-of-Vehicles environment (connected and autonomous vehicles, OEMs, connected road infrastructure, etc.) as well as the project will develop a novel architecture for user-centric cybersecurity. The system leverages a ML-driven threat analysis and situational awareness engine, supported by a permissioned enabled and shared threat information repository, and advanced services like hypothesis testing, anomaly detection, virtualised honeypots to continuously monitor threats in connected and autonomous vehicles and allow OEMs to try different parameters and examine their impact on attack prevention and risk minimization. The transformation of the mobility to modern smart mobility has led to a complex system that involves both IT and transport operation and administration which is apparently presents many and arduous challenges in security, privacy and data protection. nIoVe brings an added value for spur early CAVs tech deployment not just through wirelessly CAVs but also through other elements that are major players in this connected environment, such as mobile devices, infrastructure, traffic controller, and other elements. The nIoVe Framework relies in the basic concept that cybersecurity must be considered in all domains, components and subsystems of the Internet-of-Vehicles ecosystem and at all phases of the CAVs lifecycle.