Continuous and Efficient Cooperative Trust Management for Resilient CCAM

HORIZON.2.5HORIZON-RIAID: 101069688
EC Contribution
€56,566
Consortium Size
17 orgs
Summary

CONNECT addresses the convergence of security and safety in CCAM by assessing dynamic trust relationships and defining a trust reasoning framework based on which involved entities can establish trust for cooperatively executing safety-critical functions. This will enable both a) cyber-secure data sharing between data sources in the CCAM ecosystem that had no or insufficient pre-existing trust relationship, and b) outsourcing tasks to the MEC and cloud in a trustworthy way. Beyond the needs of functional safety, trustworthiness management should be included in CCAM’s security functionality solution for verifying trustworthiness of transmitting stations and infrastructure. CONNECT will build upon and expand the Zero Trust concept to tackle the issue of how to bootstrap vertical trust from the application, the execution environment and device hardware from the vehicle up to MEC and cloud environments. This includes measuring the system when instantiating network functions and determining the integrity and origin of software. Trusted Execution Environments (TEEs), as sw- or hw-based security elements, will be essential to establish a verifiable chain of trust throughout the entire application stack of the host vehicle, as well as protecting data in transit, at rest and in use. By coupling the Zero Trust security principle with the need of “Never Trust, Always Verify”, CONNECT bootstraps vertical trust for all users, devices and systems in the CCAM ecosystem by enabling continuous authorization and authentication prior to be granted access to data or resources. Through TEE-enabled “Chip-to-Cloud"" assurances and verifiable chain of trust, CONNECT reaches its full potential: not only does it mitigates risks stemming from the Zero Trust CCAM environment but also ensures resilience. This can make CONNECT the cornerstone of future smart transportation as it will usher new levels of safety and connectivity and bring vehicles even close to autonomy.""

Consortium (17)

Project Results (46)

Source: CORDIS, the EU research results database.

Publications (30)
A Real-time Implementation of an Edge-Assisted Collision Warning System for Urban Intersections
2025 IEEE Vehicular Networking Conference (VNC)· 2025DOI
Christian Vitale; Panagiotis Kardaras; Panayiotis Kolios; Carla Fabiana Chiasserini; Georgios Ellinas
Quantification Methods for Trust in Cooperative Driving
2025 IEEE Vehicular Networking Conference (VNC)· 2025DOI
Artur Hermann, Nataša Trkulja, Patrick Wachter, Benjamin Erb, Frank Kargl
Vehicle-to-Everything Trust: Enabling Autonomous Trust Assessment of V2X Data by Vehicles
Proceedings of the 2nd Cyber Security in CarS Workshop· 2025DOI
Nataša Trkulja; Artur Hermann; Paul Lukas Duhr; Echo Meißner; Michael Buchholz; Frank Kargl; Benjamin Erb
Adaptive Autopilot: Constrained DRL for Diverse Driving Behaviors
IEEE ITSC 2024· 2024
Dinesh Cyril Selvaraj, Christian Vitale, Tania Panayiotou, Panayiotis Kolios, Carla Fabiana Chiasserini and Georgios Ellinas
AI/ML-based services and applications for 6G-connected and autonomous vehicles
Computer Networks· 2024DOI
Claudio Casetti, Carla Fabiana Chiasserini, Falko Dressler, Agon Memedi, Diego Gasco, Elad Michael Schiller
ETSI-Compliant Protection of Connected Vulnerable Road Users: Simulation and Field Trial
2024 IEEE Vehicular Networking Conference (VNC)· 2024DOI
Alessandro Genovese, Marco Rapelli, Francesco Raviglione, Claudio Casetti
GenSUMO: GenAI-Creation of Critical Scenarios for Autonomous Vehicle Testing
IEEE CCNC 2025· 2024
S. Angelini, D. Gasco, C.Casetti
Hash-Based Direct Anonymous Attestation
Post-Quantum Cryptography (PQCrypto 2023)· 2024DOI
Liqun Chen; Changyu Dong; Nada El Kassem; Christopher J. P. Newton; Yalan Wang
Machine-Checked Proofs of Accountability: How to sElect Who is to Blame
Lecture Notes in Computer Science· 2024DOI
Dragan, Constantin Catalin; Dupressoir, François; Gjøsteen, Kristian; Haines, Thomas; Rønne, Peter; Solberg, Morten Rotvold
Maneuver Coordination Using V2I to Improve Traffic Efficiency at Intersections
2024 IEEE Vehicular Networking Conference (VNC)· 2024DOI
Lorenzo Farina, Marco Rapelli, Barbara Maví Masini, Claudio Casetti, Alessandro Bazzi
MS-VAN3T-CARLA: An Open-Source Co-Simulation Framework for Cooperative Perception Evaluation
2024 19th Wireless On-Demand Network Systems and Services Conference (WONS)· 2024DOI
Risma Carletti, Carlos Mateo; Casetti, Claudio; Härri, Jérôme; Risso, Fulvio
ms-van3t: An integrated multi-stack framework for virtual validation of V2X communication and services
Computer Communications· 2024DOI
F. Raviglione, C.M. Risma Carletti, M. Malinverno, C. Casetti, C.F. Chiasserini
On Enhancing Intersection Applications With Misbehavior Detection and Mitigation
2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)· 2024DOI
Zhang, Jiahao; Liu, Ziyi; Jemaa, Ines; Bassi, Francesca; Nashashibi, Fawzi
OScar: An ETSI -Compliant C- ITS Stack for Field- Testing with Embedded Hardware Devices
2024 22nd Mediterranean Communication and Computer Networking Conference (MedComNet)· 2024DOI
Marco Rapelli, Francesco Raviglione, Claudio Casetti
Personalized and Context-aware Route Planning for Edge-assisted Vehicles
· 2024
Dinesh Cyril Selvaraj, Falko Dressler, Carla Fabiana Chiasserini
Pluralism and the Design of Autonomous Vehicles
Philosophy and Technology· 2024DOI
Adam Henschke; Chirag Arora
Proxy Assertions and Agency: The Case of Machine-Assertions
Philosophy and Technology· 2024DOI
Chirag Arora
S-LDM: Server Local Dynamic Map for 5G-based Centralized Enhanced Collective Perception
Vehicular Communications· 2024DOI
Carlos Mateo Risma Carletti, Francesco Raviglione, Claudio Casetti, Filippo Stoffella, Girma Mamuye Yilma, Filippo Visintainer
Sphinx-in-the-Head: Group Signatures from Symmetric Primitives
ACM Transactions on Privacy and Security· 2024DOI
Liqun Chen, Changyu Dong, Christopher J. P. Newton and Yalan Wang
WIP: A Trust Assessment Method for In-Vehicular Networks using Vehicle Risk Assessment
VehicleSec 2024· 2024DOI
Artur Hermann, Natasa Trkulja, Anderson Ramon Ferraz de Lucena, Alexander Kiening, Ana Petrovska, Frank Kargl
An ML-Aided Reinforcement Learning Approach for Challenging Vehicle Maneuvers
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES· 2023DOI
Dinesh Cyril Selvaraj, Shailesh Hegde, Nicola Amati, Francesco Deflorio and Carla Fabiana Chiasserini
Comparative Evaluation of PKI and DAA-based Architectures for V2X Communication Security
2023 IEEE Vehicular Networking Conference (VNC)· 2023DOI
Angelogianni Anna; Krontiris Ioannis; Giannetsos Thanassis
Edge-assisted ML-aided Uncertainty-aware Vehicle Collision Avoidance at Urban Intersections
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES· 2023DOI
Dinesh Cyril Selvaraj, Christian Vitale, Tania Panayiotou, Panayiotis Kolios, Carla Fabiana Chiasserini, Georgios Ellinas
Hash-Based Direct Anonymous Attestation
Lecture Notes in Computer Science - Post-Quantum Cryptography· 2023DOI
Liqun Chen 0002; Changyu Dong; Nada El Kassem; Christopher J. P. Newton; Yalan Wang
How To Bind A TPM’s Attestation Keys With Its Endorsement Key
The Computer Journal· 2023DOI
Chen, Liqun; El Kassem, Nada; Newton, Christopher J P
In-vehicle Trust Assessment Framework
21th ESCAR Europe 2023· 2023DOI
Nataša Trkulja, Artur Hermann, Ana Petrovska, Alexander Kiening, Anderson Ramon Ferraz de Lucena, Frank Kargl
Securing Cooperative Intersection Management through Subjective Trust Networks
2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)· 2023DOI
Frank Kargl, Nataša Trkulja, Artur Hermann, Florian Sommer, Anderson Ramon Ferraz de Lucena, Alexander Kiening, Sergej Japs
The Internet of Vehicles (IoV) — Security, Privacy, Trust, and Reputation Management for Connected Vehicles
IEEE Internet of Things Magazine· 2023DOI
Drobot, Adam; Zhang, Tao; Buonarosa, Mary Lynn; Kargl, Frank; Schwinke, Steve; Sikdar, Biplab
Challenges and Priorities towards Trustworthy AI
Ioannis Krontiris, Frank Kargl, Thanassis Giannetsos
Demo: Quantifying Trust in a Trust Assessment Framework
2025 IEEE Vehicular Networking ConferenceDOI
Artur Hermann, Nataša Trkulja, Echo Meißner, Benjamin Erb, and Frank Kargl
Deliverables (16)