
ARIADNA, a European project to promote the use of GALILEO applied to urban mobility
February 1, 2020
COVID-19 · The UPC collaborates with the catalan Ministry of Health on requirements to make reusable healthcare masks
March 1, 2020The Wireless Networks Group (WNG) at the UPC participates in CARAMEL, a European project whose main objective is to respond to current cybersecurity challenges of connected vehicles, through advanced technologies of Artificial Intelligence and Machine Learning.
To achieve this, various types of vehicles will be considered (cooperative, connected, autonomous and electric), and new methods and solutions will be sought to reduce the cybersecurity risks associated with each of them.
Although protocols currently exist to guarantee security, vehicle connectivity, autonomous driving systems and smart charging of electric vehicles introduce new cybersecurity breaches that should be tackled.

As part of CARAMEL, intrusion detection system (IDS)/intrusion prevention system (IPS) products will be developed as well as advanced technologies and services to manage complex cyberattacks and reduce potential damage. In addition, new interoperable, scalable ICT infrastructure will be designed to provide sustainable cybernetic security and digital privacy.
Cybersecurity is one of the four most serious global risks that we are facing, according to the World Economic Forum in Davos at the start of 2018. In 2020, experts predict that 20 billion devices will be connected, which will doubtless lead to a higher number of cybernetic attacks.
The pilot tests of CARAMEL will be carried out in Karlsruhe, and they are scheduled in January 2022.
The CARAMEL project has received funding of 5 million euros from the Horizon 2020 programme of the European Union and will be executed over 30 months (October 2019 to March 2022). The project is coordinated by i2CAT and has 14 other participating members from 8 European countries (Germany, Spain, Cyprus, Portugal, the Netherlands, the United Kingdom, Greece and Austria).
The CARAMEL project has received funding of 5 million euros from the Horizon 2020 programme of the European Union and will be executed over 30 months (October 2019 to March 2022). The project is coordinated by i2CAT and has 14 other participating members from 8 European countries (Germany, Spain, Cyprus, Portugal, the Netherlands, the United Kingdom, Greece and Austria).
You want to know more?
Related Projects
- The Centre for Industrial Equipment Design (CDEI) at the Universitat Politècnica de Catalunya - BarcelonaTech (UPC), together with the IRI, Institut de Robòtica i Informàtica Industrial (CSIC-UPC), is participating in the development of a pre-commercial prototype of an automatic portable sawmill that integrates computer vision, artificial intelligence and computer numerical control to improve productivity, efficiency and safety in local wood processing for the company Envall Coop. S.L.
STOR-HY: More flexible, efficient and resilient hydropower storage for the European electricity grid
The Center for Industrial Diagnostics (CDIF) at the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) coordinates the European STOR-HY project, which develops digital tools, monitoring systems and advanced models to optimise the operation of pumped-storage hydropower plants and reduce their investment and maintenance costs.- The Advanced Network Architectures Lab (CRAAX) at the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) is participating in the ACCOMPLISH project, which is developing an innovative AI-based compliance and certification framework to simplify, integrate and automate compliance in operations, assets, solutions and organisational processes related to data and artificial intelligence.
- Un equip de recerca de la UPC, integrat pel CommSensLab-UPC i el Remote Sensing Lab (RSLAB) de la Universitat Politècnica de Catalunya - BarcelonaTech (UPC), juntament amb l’Institut d’Estudis Espacials de Catalunya (IEEC), ha participat en el projecte AI4EO, amb l’objectiu d’impulsar solucions i posar en pràctica eines d’intel·ligència artificial aplicades a dades d’observació de la Terra en diversos casos d’ús sobre el territori català.




