Artificial Intelligence based cybersecurity for connected and automated vehicles

Informazioni relative al progetto

CARAMEL

ID dell’accordo di sovvenzione: 833611

DOI

10.3030/833611

Progetto chiuso

Data della firma CE 27 Settembre 2019

Data di avvio 1 Ottobre 2019

Data di completamento 30 Giugno 2022

Finanziato da

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Costo totale

€ 7 033 655,10

Contributo UE

€ 4 998 503,51

Coordinato da

FUNDACIO PRIVADA I2CAT, INTERNET I INNOVACIO DIGITAL A CATALUNYA
Spain

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (13)

Report of Standardisation, Dissemination, Communication and Digital Presence

Interim report on the results of the standardisation dissemination and communication activities of the project

Market Analysis and Exploitation Potentials

D7.2 will provide a stakeholder analysis, a list of exploitable assets, technology transfer and market analysis in specified sectors.

Report on Detailed Specification of Use Cases

This deliverable will report in detail on the use cases to be deployed within the project. It will identify main limitations of current technologies and specify actors, scenarios, the flow of actions and measurable improvements over the current state-of-the-art.

Standardisation, Dissemination, Communication and Digital Presence Final Report

This deliverable will present CARAMEL achievements in terms of standardisation dissemination communication and digital presence The actual values will be compared to the plan presented on D71 Moreover D74 will also include reports about the outcomes of the hackathons and workshops targeted by the project

Ethics Framework and Data Management Plan

This report describes plan for ethical issues and data protection and confidentiality within the project. The particular data will be described in D1.2 and the ways to secure users’ privacy and confidentiality between involved parties. It will present the types of research data that are expected to be generated in the project, the standards or formats that this information will have, and also the methods we will be using to make this data accessible and the ways we will preserve it.

Hardware Security Module Specifications

Report on HSM specifications and final design.

Dissemination, Communication and Exploitation Plan

This deliverable will determine the CARAMEL dissemination, communication and exploitation plan. D7.1 provides a description of how the project can measure the effectiveness of its dissemination, communication and exploitation (keeping the KPIs defined in the proposal as a basis).

Report on the Collection and Storage of Data from Smart Vehicle's Internal Network

This deliverable will provide specifications and implementation details of the CARAMEL collection and data storage solution from the smart vehicles internal network

CARAMEL Situational Awareness Solution based on the Machine Learning Applications

This deliverable will provide the formal situational awareness model that the rest of tasks related to cybersecurity management will use for demonstrating fully operational control loop to collect detect and remediate cyberthreats A prototypical implementation of the solution will also be delivered

Project Presentation and Management Guidelines

This document presents project’s main goals, key issues, technical approach and achievements. It includes project organisation, communication among partners, reporting tools, organisation of deliverables, financial management, and quality procedures.

CARAMEL PKI-enabled Vehicle Identity Management System

This deliverable will provide details about the CARAMEL PKIenabled vehicle identity management system

Roadmapping and Business Modelling Report

This report will provide the final roadmap for the evolution of CARAMEL into marketable products including billingpricingsubscription models and a plan for further exploitation of CARAMEL components and as a whole

Machine Learning based Detection of Attacks into Antihacking Device

Details of the machine learning solutions developed and adopted in the project for the detection of attacks into the antihacking device

Demonstrators, pilots, prototypes (2)

Final Demonstration and Evaluation

D63 will report on the description and assessment of scenario driven attacks through the implemented use cases It will also contain an overall assessment of the project results as well as a roadmap for future evolution of the CARAMEL achievements

CARAMEL IDS/IPS Security Module

HSM final report and demonstrator

Pubblicazioni

Conference proceedings (13)

DriveGuard: Robustification of Automated Driving Systems with Deep Spatio-Temporal Convolutional Autoencoder

Autori: Andreas Papachristodoulou; Christos Kyrkou; Theocharis Theocharides
Pubblicato in: 2021 IEEE Winter Conference on Applications of Computer Vision Workshops (WACVW), Numero 1, 2021, Pagina/e 107-116
Editore: IEEE
DOI: 10.1109/wacvw52041.2021.00016

GNSS Location Verification in Connected and Autonomous Vehicles Using in-Vehicle Multimodal Sensor Data Fusion

Autori: Nicolas Souli, Christos Laoudias, Panayiotis Kolios, Christian Vitale, Georgios Ellinas, Aris Lalos, Jordi Casademont, Pouria Sayyad Khodashenas, Petros Kapsalas
Pubblicato in: 2020 22nd International Conference on Transparent Optical Networks (ICTON), 2020, Pagina/e 1-4, ISBN 978-1-7281-8423-4
Editore: IEEE
DOI: 10.1109/icton51198.2020.9203087

CarlaScenes: A Synthetic Dataset for Odometry in Autonomous Driving

Autori: Kloukiniotis, Andreas; Papandreou, Andreas; Anagnostopoulos, Christos; Lalos, Aris; Kapsalas Petros; Nguyen, Duong-Van; Moustakas, Konstantinos
Pubblicato in: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, New Orleans, Louisiana, USA, 19-24 June 2022, Numero 1, 2022
Editore: IEEE
DOI: 10.5281/zenodo.6672923

Synthetic Traffic Signs Dataset for Traffic Sign Detection & Recognition In Distributed Smart Systems

Autori: Ilias Siniosoglou, Panagiotis Sarigiannidis, Yannis Spyridis, Anish Khadka, Georgios Efstathopoulos, Thomas Lagkas
Pubblicato in: 2021 17th International Conference on Distributed Computing in Sensor Systems (DCOSS), Numero 1, 2021, Pagina/e N.A, ISBN 978-1-6654-3929-9
Editore: IEEE
DOI: 10.1109/dcoss52077.2021.00056

A Comprehensive Solution for Securing Connected and Autonomous Vehicles (slides)

Autori: Kamal, Mohsin; Kyrkou, Christos; Piperigkos, Nikos; Papandreou, Andreas; Kloukiniotis, Andreas; Casademont, Jordi; Porras Mateu, Natlia; Diaz Rodriguez, Rodrigo; Gregorio Durante, Nicola; Hofmann, Peter; Kapsalas, Petros; Lalos, Aris S.; Moustakas, Konstantinos; Laoudias, Christos; Theocharides, Theocharis; Ellinas, Georgios
Pubblicato in: 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), Numero 3, 2022, ISBN 978-1-6654-9637-7
Editore: IEEE
DOI: 10.5281/zenodo.6580863

Deep multi-modal data analysis and fusion for robust scene understanding in CAVs

Autori: Papandreou, Andreas; Kloukiniotis, Andreas;Lalos, Aris; Moustakas, Konstantinos
Pubblicato in: 2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP), Numero 1, 2022, Pagina/e N.A, ISBN 978-1-6654-3288-7
Editore: IEEE
DOI: 10.1109/mmsp53017.2021.9733604

5G Enabled Cooperative Localization of Connected and Semi-Autonomous Vehicles via Sparse Laplacian Processing

Autori: Nikos Piperigkos, Aris S. Lalos, Kostas Berberidis, Christos Laoudias, Konstantinos Moustakas
Pubblicato in: 2020 22nd International Conference on Transparent Optical Networks (ICTON), 2020, Pagina/e 1-4, ISBN 978-1-7281-8423-4
Editore: IEEE
DOI: 10.1109/icton51198.2020.9203314

Multi-Radio V2X Communications Interoperability Through a Multi-Access Edge Computing (MEC)

Autori: Casademont, J., Cordero, B., Camps-Mur, D., da Conceição, L. A. M., Lalos, A., Vitale, C., Laoudias, C., Khodashenas, P. S.
Pubblicato in: 2020 22nd International Conference on Transparent Optical Networks (ICTON), 2020
Editore: IEEE
DOI: 10.1109/icton51198.2020.9203495

Validation and Benchmarking of CNFs in OSM for pure Cloud Native applications in 5G and beyond

Autori: Adrian Pino, Pouria Khodashenas, Xavier Hesselbachz, Estefanıa Coronado, Shuaib Siddiqui
Pubblicato in: 2021 International Conference on Computer Communications and Networks (ICCCN), Numero 1, 2021, Pagina/e N.A, ISBN 978-1-6654-1278-0
Editore: IEEE
DOI: 10.1109/icccn52240.2021.9522356

Relative Positioning of Autonomous Systems using Signals of Opportunity

Autori: Nicolas Souli, Panayiotis Kolios, Georgios Ellinas
Pubblicato in: 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), 2020, Pagina/e 1-6, ISBN 978-1-7281-5207-3
Editore: IEEE
DOI: 10.1109/vtc2020-spring48590.2020.9128912

The CARAMEL Project: a Secure Architecture for Connected and Autonomous Vehicles

Autori: Vitale, C., Piperigkos, N., Laoudias, C., Ellinas, G., Casademont, J., Sayyad Khodashenas, P., Kloukiniotis, A., Lalos, A. S., Moustakas, K., Barrientos Lobato, P., Moreno Castillo, J., Kapsalas, P., Hofmann, K. P.
Pubblicato in: 2020 European Conference on Networks and Communications (EuCNC), 2020
Editore: IEEE
DOI: 10.1109/eucnc48522.2020.9200945

Towards Artificial-Intelligence-Based Cybersecurity for Robustifying Automated Driving Systems Against Camera Sensor Attacks

Autori: Kyrkou, Christos, Papachristodoulou, Andreas, Kloukiniotis, Andreas, Papandreou, Andreas, Lalos, Aris S., Moustakas, Konstantinos, Theocharides, Theocharis
Pubblicato in: 2020 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2020
Editore: IEEE
DOI: 10.1109/isvlsi49217.2020.00-11

GPS Location Spoofing Attack Detection for Enhancing the Security of Autonomous Vehicles (slides)

Autori: Kamal, Mohsin; Barua, Arnab; Vitale, Christian; Laoudias, Christos; Ellinas, Georgios
Pubblicato in: 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), Numero 6, 2021, Pagina/e N.A, ISBN 978-1-6654-1368-8
Editore: IEEE
DOI: 10.5281/zenodo.6511287

Peer reviewed articles (6)

Addressing Cybersecurity in the Next Generation Mobility Ecosystem with CARAMEL

Autori: Nikolaos Argyropoulos, Pouria Sayyad Khodashenas, Orestis Mavropoulos, Eirini Karapistoli, Anastasios Lytos, Paris Alexandros Karypidis, Klaus-Peter Hofmann
Pubblicato in: Transportation Research Procedia, Numero 52, 2021, Pagina/e 307-314, ISSN 2352-1465
Editore: ELSEVIER
DOI: 10.1016/j.trpro.2021.01.036

Exploring Adversarial Attacks and Defences for Fake Twitter Account Detection

Autori: Panagiotis Kantartopoulos, Nikolaos Pitropakis, Alexios Mylonas, Nicolas Kylilis
Pubblicato in: Technologies, Numero 8/4, 2020, Pagina/e 64, ISSN 2227-7080
Editore: Technologies-MDPI
DOI: 10.3390/technologies8040064

Countering Adversarial Attacks on Autonomous Vehicles Using Denoising Techniques: A Review.

Autori: Andreas Kloukiniotis, Andreas Papandreou, Aris Lalos, Petros Kapsalas, D-V. Nguyen, Konstantinos Moustakas
Pubblicato in: IEEE Open Journal of Intelligent Transportation Systems, Numero vol. 3, pp. 61-80, 2022, 2022, ISSN 2687-7813
Editore: IEEE
DOI: 10.1109/ojits.2022.3142612

Impact of False Data Injection attacks on Decentralized Electric Vehicle Charging Protocols

Autori: Nikos Piperigkos, Aris S. Lalos
Pubblicato in: Transportation Research Procedia, Numero 52, 2021, Pagina/e 331-338, ISSN 2352-1465
Editore: ELSEVIER
DOI: 10.1016/j.trpro.2021.01.039

A benchmarking framework for cyber-attacks on autonomous vehicles

Autori: A. Khadka, P. Karypidis, A. Lytos, G. Efstathopoulos
Pubblicato in: Transportation Research Procedia, Numero 52, 2021, Pagina/e 323-330, ISSN 2352-1465
Editore: ELSEVIER
DOI: 10.1016/j.trpro.2021.01.038

CARAMEL: results on a secure architecture for connected and autonomous vehicles detecting GPS spoofing attacks

Autori: Christian Vitale; Nikos Piperigkos; Christos Laoudias; Georgios Ellinas; Jordi Casademont; Josep Escrig; Andreas Kloukiniotis; Aris S. Lalos; Konstantinos Moustakas; Rodrigo Diaz Rodriguez; Daniel Baños; Gemma Roqueta Crusats; Petros Kapsalas; Klaus-Peter Hofmann; Pouria Sayyad Khodashenas
Pubblicato in: EURASIP Journal on Wireless Communications and Networking, Vol 2021, Iss 1, Pp 1-28 (2021), Numero 8, 2021, ISSN 1687-1499
Editore: Springer Open
DOI: 10.1186/s13638-021-01971-x