Published the 10 winners of Call 1-2023 active until last September. <\/p>\n\n
The initiative funds, for a total of 2.6 Million Euros<\/strong> in grants, 3 projects in the Cybersecurity core<\/strong> area, 3 projects in the Automotive<\/strong> area, 1 project in the Aerospace<\/strong> area, and 3 projects in the Healthcare<\/strong> area with the following objectives:<\/p>\n\n Here is the list of winners:<\/p>\n\n 1\ufe0f\u20e3 SATML-B from DATRIX | AI solutions Group<\/strong><\/p>\n\n Security, Reliability and Transparency of Machine Learning and Big Data analytics techniques<\/em> <\/p>\n\n The proposed project builds on CybersecH, a Cyber 4.0-funded initiative that was successfully completed in February 2023 and led to the development of the modular AIA-Guard platform (aiaguard.com). This project aims to expand the functionality of the AIA-Guard platform by bringing the final TRL to 8 through three main initiatives assessed as strategic and with strong commercial potential. First, this will involve the expansion of the modules related to Adversarial attacks, the refinement of the AI Shield module, and the extension of the Data sanitization & anonymization module. It needs to be kept in mind that considering the planned enhancements and extensions over what was developed in the previous CybersecH project, currently the solution at the beginning of the project has TRL 6. <\/p>\n\n 2\ufe0f\u20e3 ARGO by Sistemi & Automazione S.p.A.<\/strong><\/p>\n\n Algorithms for Graph Search for dispersed data discovery on Open sources<\/em> <\/p>\n\n Understanding Cyber Threat Intelligence (CTI) is a key aspect in the work of analysts who must build successful strategies to mitigate (ex-post) cyber attacks and provide decision support in a rapid and more informed way to implement new countermeasures. Thus, the fundamental principle in the development of Graph Search Algorithms for dispersed data discovery on Open cyber sources will be modularity and flexibility: A.R.G.O. will not rely on fixed analysis and visualizations, but will provide the ability to create clusters of interrelated nodes to solve the problem. The structure will ensure that a piece of data that has not been considered in the graph today will still be importable within A.R.G.O. and that analysis sets will always be extendable at will based on future user needs. <\/p>\n\n 3\ufe0f\u20e3 ESII of Sharelock Ltd.<\/strong><\/p>\n\n Early Security Incident Investigation<\/em> <\/p>\n\n The solution proposes the integration of a specifically trained Large Language Model (LLM), which fits synergistically into the Sharelock ITDR and Sharelock CWP products to conduct investigations into the security alerts that the product produces. With the local LLM, it is possible to meet the challenges posed by the complexity of cyber threats, enabling detailed and timely investigations of individual or groups of anomalies. <\/p>\n\n 4\ufe0f\u20e3 CyberGuardEV by TME – Test and Manufacturing Engineering<\/strong> and Alfagreen Solutions<\/strong><\/p>\n\n Integrated System for Information Security in Electric Vehicle Charging Stations<\/em> <\/p>\n\n The main objective of the project is to develop an innovative electronic device capable of detecting and protecting electric vehicle charging stations from side-channel attacks. In fact, such systems are actually cyber-physical systems connected to communication networks for a variety of reasons, including station management, logging and transmission of electrical operating data related to vehicle charging operations (energy delivered, time profiles, etc.), as well as management of the HMI and economic transactions associated with its operation. Being systems connected to the data network and the power grid, as also highlighted in the industry literature, they lend themselves to various side-channel attachment surfaces. <\/p>\n\n 5\ufe0f\u20e3 Cyborg by RadioLabs<\/strong> and DRIVESEC – We Secure Your Things<\/strong><\/p>\n\n CYbersecure Block-chain based in-vehicle cOmmunications towaRd post quantum cryptoGraphy<\/em><\/p>\n\n The CYBORG project, as a continuation and extension of the SHINE-ON (Secured HIgh accuracy localizatioN Equipment for automotive applicatioNs) project, aims to build a passive protection architecture from cyber attacks in the intra-vehicle environment with blockchain-based forensically relevant data authentication functions to robustly and accurately implement the vehicle localization function, which is essential for connected and autonomous driving that needs to be fail-operational and cyber-secure.<\/p>\n\n 6\ufe0f\u20e3 Iptsat<\/strong> Biosat Marketplace<\/p>\n\n Satellite information system on-demand services – Biosat marketplace<\/em><\/p>\n\n Biosat MP (market place) aims to help first the local PA and then the industry to bridge the gap between the potential usefulness of Earth Observation-derived products and the practical and operational information needs expressed by Italian Local Public Administrations. It promotes the use of Earth Observation-derived information products, primarily from ESA\/EU missions and the future IRIDE constellation, to raise awareness among target user communities of the applicability of Earth Observation services in their daily operations. The ultimate goal is the creation of a Marketplace with a set of predefined and operational services. The result will be to generate a secure, clear and rapid process for the provision of value-added services and data to PA. <\/p>\n\n 7\ufe0f\u20e3 Wise Pack by Radio6sense<\/strong> and Gunpowder<\/strong><\/p>\n\n Wireless In-package Sensors to protect the Pharmaceutical Industry against cyber-physical attacKs<\/em> <\/p>\n\n Pharmaceutical plants and the entire supply chain, in the same way as other critical infrastructures such as data centers, power plants, and ICT networks, have now become potential targets of cyber-physical attacks. In this project, a monitoring and protection infrastructure against the aforementioned threats will be developed, which will be based on the synergistic integration of Internet of Things and Artificial Intelligence systems, overturning traditional monitoring paradigms. In fact, it will be the pharmaceutical product itself with its packaging that will detect the effects of process attacks or counterfeit actions by recording environmental anomalies within the packaging microenvironment, both during the production process and in the subsequent storage and quality control phases. <\/p>\n\n\n