If you are an automotive OEM or Tier-1 supplier dealing with growing cybersecurity threats to your connected vehicle fleet — this project developed a multi-layered detection and response platform tested across 3 pilots that spots cyber attacks in real time using machine learning. With 13 partners including 7 industry players validating the system, it offers a proven approach to reducing attack surfaces across your vehicle-to-everything (V2X) communications.
Cybersecurity Platform That Protects Connected and Self-Driving Vehicles from Hackers
Imagine your car is constantly talking to other cars, traffic lights, and the cloud — now imagine someone hacking into that conversation. nIoVe built a multi-layered security system that watches over the entire connected vehicle ecosystem, spots cyber attacks in real time using machine learning, and coordinates a rapid response. Think of it like an immune system for the Internet of Vehicles — it detects threats, alerts everyone involved, and helps recover fast. The system was tested in 3 different pilot setups including real-world driving conditions.
What needed solving
Connected and autonomous vehicles are increasingly vulnerable to cyberattacks, but no single company or tool can protect the entire vehicle communication ecosystem alone. Automotive manufacturers, fleet operators, and mobility providers need a way to detect threats in real time, coordinate incident response across multiple parties, and recover quickly from breaches — without building everything from scratch.
What was built
The project built a multi-layered cybersecurity platform for connected vehicles including: in-vehicle and V2X data collectors, a machine learning threat analysis engine, visual and data analytics for cyber-threat detection, trusted incident response coordination mechanisms, adaptive graphical user interfaces, and interoperable data exchange tools. All validated across 3 pilot environments with 30 deliverables produced.
Who needs this
Who can put this to work
If you are a fleet operator worried about cyberattacks disrupting your connected truck or delivery fleet — this project built threat detection tools and incident response coordination specifically for the Internet of Vehicles. Validated in real-world conditions as part of 3 pilot demonstrations, the platform reduces response time to breaches and minimizes operational disruption across your entire fleet.
If you are an insurer or mobility service provider needing to assess and mitigate cyber risk for connected vehicles — this project created situational awareness and risk assessment tools backed by machine learning and trusted data exchange. Developed by a consortium of 13 partners across 8 countries with EUR 4,997,125 in EU funding, it provides the threat intelligence infrastructure to quantify and reduce cyber risk in vehicle fleets.
Quick answers
What would it cost to implement this cybersecurity platform?
The project received EUR 4,997,125 in EU funding across 13 partners over 36 months to develop and validate the system. Licensing or implementation costs for commercial use would need to be negotiated directly with the consortium partners. As an Innovation Action, the technology was designed with commercialization in mind.
Can this scale to protect large vehicle fleets?
The system was designed for the full Internet of Vehicles ecosystem, not just individual cars. It was validated in 3 pilot environments including simulated environments and real-world conditions, demonstrating scalability across different deployment scenarios. The platform supports interoperable data exchange between multiple cybersecurity tools.
Who owns the intellectual property and how can I license it?
IP is distributed among the 13 consortium partners, with the coordinator CERTH (Greece) as a primary contact point. The consortium includes 7 industry partners and 4 SMEs, suggesting commercial licensing pathways are likely available. Specific licensing terms would need to be discussed with individual technology owners.
Does this meet automotive cybersecurity regulations like UN R155/R156?
The project addressed cybersecurity for connected and autonomous vehicles with emphasis on Computer Security Incident Response Teams (CSIRTs) and information sharing — both key elements of emerging automotive cybersecurity regulations. Based on available project data, the tools were designed to support compliance with evolving regulatory requirements around vehicle cybersecurity.
How quickly can this detect and respond to a cyberattack?
The project explicitly aimed to showcase effective and real-time detection of advanced threats and to reduce substantially the response time to breaches. Machine learning-based threat analysis and coordinated incident response across the ecosystem were core deliverables tested in 3 pilot setups.
Does it integrate with existing vehicle systems and security tools?
Interoperability was a core design principle. The platform uses in-vehicle and V2X data collectors that feed into a central machine learning platform, and supports interoperable data exchange between existing and newly proposed cybersecurity tools. Adaptive graphical user interfaces were also developed for operator interaction.
Is there ongoing support or a community behind this?
The project ran from 2019 to 2022 and produced 30 deliverables. The consortium contributed to establishing sustainable Computer Security Incident Response Teams (CSIRTs) for the IoV ecosystem. Post-project support would depend on individual partner engagement and any spin-off activities.
Who built it
The nIoVe consortium of 13 partners across 8 countries is strongly industry-oriented with 7 industry partners (54% ratio) and 4 SMEs, which is a strong signal for commercial viability. The coordinator CERTH is a major Greek research centre with deep expertise in applied technology development. Having partners from Germany, France, Sweden, Italy, Spain, Israel, and Switzerland covers key automotive and cybersecurity markets in Europe and beyond. The mix of 2 universities and 3 research organizations providing the science backbone, combined with majority industry participation, suggests the technology was developed with real deployment constraints in mind rather than purely academic goals.
- ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXISCoordinator · EL
- TRANSPORTS PUBLICS GENEVOISparticipant · CH
- ICT LEGAL CONSULTING - STUDIO LEGALE ASSOCIATO BALBONI BOLOGNINI & PARTNERSparticipant · IT
- UNIVERSITE DE GENEVEparticipant · CH
- TECHNISCHE UNIVERSITAET MUENCHENparticipant · DE
- NAVYAparticipant · FR
- ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSISparticipant · EL
- RISE RESEARCH INSTITUTES OF SWEDEN ABparticipant · SE
- ARGUS CYBER SECURITY LTDparticipant · IL
- SMART ENGINEERING & MANAGEMENT SOLUTIONS ANONYMI ETAIREIAparticipant · EL
- LIBELIUM LAB SLparticipant · ES
- ESCRYPT GMBHparticipant · DE
CERTH (Ethniko Kentro Erevnas kai Technologikis Anaptyxis), Greece — search for nIoVe project coordinator on the project website or ResearchGate
Talk to the team behind this work.
Want to connect with the nIoVe team about licensing their vehicle cybersecurity platform? SciTransfer can arrange an introduction and help evaluate fit for your fleet or product line.