The initiative funds, for a total of about 2.7 Million Euros in grants, 4 projects in the core Cybersecurity field, 3 projects in the Automotive field, 2 projects in the Aerospace field, and 3 projects in the Healthcare field with the following objectives:
- Promotion of technological and digital development in the industrial sector, with special emphasis on small and medium-sized enterprises;
- Encourage the transfer of technological solutions and innovation in production processes and/or products and/or business models resulting from the development, adoption and diffusion of technologies in the 4.0 sphere, consistent with the framework of interventions of the National Enterprise 4.0 Plan;
- Encourage collaboration between businesses and Cyber 4.0 to develop projects that meet the needs of innovation and competitiveness;
- Facilitate the exchange of knowledge and skills among enterprises and between enterprises and research organizations;
- To foster spillovers to the territory in terms of social, economic, environmental, labor and competitiveness impact of the Italian production system by increasing the technical-scientific content of products, processes and/or services.
Here is the list of projects:
ZOOMel
The project aims to provide support for melanoma diagnostics because of the high mortality associated with this form of skin cancer. Indeed, in order to increase patients’ chances of survival, prevention and enhancing the diagnostic and monitoring steps are crucial. The project intends to exploit systems based on the deep learning (DL) method for dermoscopic image analysis (DIA). The goal of the project is to make melanoma diagnosis faster and more accurate and to encourage active patient involvement.
MACS 2.0
MULTIBRAND AUTOMOTIVE CYBERSECURITY SOFTWARE 2.0
The MACS2 project extends the first MACS project, setting the following goals:
- Diagnostic features on the radio spectrum: advanced SDR (Software-Defined Radio) capabilities to prevent theft of the medium
- Development of cloud-based “Black Box” functionality for post-event analysis and diagnostics
- Development of cloud-based software tools and use of external AI services for analysis of data collected by sensors
- Support for vehicle fleet management
- Software extensions for safety and vehicle behavior monitoring.
SENTINEL
It is an innovative platform for personal safety in the automotive field, with special reference to those using operating machinery. Overall, the system includes tools for analyzing driver behavior by studying driving style data and patterns of attention and physiological signals related to diabetes. These are combined with techniques and algorithms for the detection of driver drowsiness and fatigue.
ETHER
The project proposes the research and development of advanced technologies for extended radio frequency interference monitoring, providing a “New-Space” solution for the analysis of the bands most widely used in satellite services. In detail, the project has the following objectives:
- To provide an enabling technology for “RF situational awareness” extended to the bands most widely used in satellite services;
- Study new RF monitoring solutions that are flexible and adaptable to both ground and space usage scenarios;
- Extend the capabilities of the interference monitoring sensor to cover bands up to Ku (18 GHz).
- Consolidate new emerging markets where the technology can be offered.
SMARTCARE
Scalable reMote Accessible monitoRing plaTform for patient CARE
The project proposes the development of an advanced telemedicine technology platform focused on medical device integration, ease of use, and data security. The main innovation lies in the modularity of the platform, which will enable, over time, the smooth integration of a wide range of medical devices from different manufacturers, providing flexibility and customization in remote health care. In summary, SMARTCARE aims to fuel the transformative process of telemedicine, improving access and quality of health care through innovative and secure solutions.
SafeBot4Twin
The project proposes a new Large Language Model (LLM)-based chatbot to control Medical Digital Twin constructed using clinical data and ensure the security of the underlying sensitive information required for their creation and use. This autonomous system will provide periodic monitoring and risk assessment using advanced algorithms to analyze and synthesize relevant information. The Chatbot will simultaneously act as a user-friendly security tool capable of assisting and guiding untrained personnel in complex operations such as Vulnerability Assessment and Remediation practices and as a tool for interacting with Digital Twin in an intuitive and direct manner.
STAR4AI
Security, Transparency, Reliability and Resilience for Artificial Intelligence.
The STAR4AI project extends the AIA Guard platform (previous Call 1/2023) to address new challenges by focusing on three innovative areas:
(a) AI Detector: Identify artificially generated content to combat misinformation and preserve the integrity of online information by analyzing text and images using advanced algorithms.
(b) Data Sanitization & Anonymization: Sanitize and anonymize sensitive and personal data in model training datasets, including images and PDF documents, ensuring GDPR compliance and improving information security.
(c) AI Fairness: Assess and mitigate bias in models, ensuring fairness and transparency in automated decisions through analysis and review of training datasets and the models themselves.
BASE
Biometrics Autographed Signature Encryption
Keyless’ proposed innovation with the BASE project addresses a crucial challenge in digital security: providing a robust and user-friendly method of authentication and digital signature. The cryptographic module aims to ensure the integrity of online transactions by securely managing cryptographic keys and sensitive information, integrating standard protocols and complying with GDPR, CCPA, SCA and PSD3. Using advanced techniques such as zero-knowledge proof, secure multi-party computation and fuzzy extractors, a distributed biometric authentication system is proposed without saving fingerprints on centralized servers.
Q-RoT
The main objective of the project is to develop a Root-of-Trust architecture that integrates the Quantum Random Number Generator underlying Random Power. Root-of-Trusts constitute the foundational element of any security system, capable of generating and guarding the unique identity of devices and generating, storing, and managing cryptographic and authentication keys, the construction processes of which always go through the generation of bit sequences and then random numbers.
Distributed Content Security (DCS)
The project aims to protect enterprise data from ransomware attacks through the integration of IOTA (applications in the context of the Internet-of-Things-IoT) and IPFS (InterPlanetary File System) technologies: the solution combines the security and performance of the IOTA distributed ledger with the decentralized storage capabilities of IPFS, offering advanced and cost-effective protection for application data.
The innovativeness of the solution is to enable the distribution of files on an IPFS distributed storage, accessible through a gateway service supporting various protocols, provided by a plug-in that can be activated on the distributed registry nodes.
CYBERBOSS
The platform, through multifactor biometric identity, prevents illicit access to the vehicle and creates a “digital lock” of in-vehicle infotainment systems. At the digital level, CYBERBOSS intends to build a software platform with a comprehensive and integrated Security Testing system to detect and filter cyber attacks toward the vehicle’s IVIs (In Vehicle Infotainment) or TCUs and “determine” in real time the security status of a vehicle at all stages of the vehicle life cycle by improving the objectivity of the assessment and providing in a simple way a set of effective solutions for restoring vehicle security.
HESI
Advanced System for the Secure Management of Satellite Images Using Homomorphic Encryption
The objective of the project is to develop an advanced software system for formatting satellite products, specifically designed for the management and processing of SAR (Synthetic Aperture Radar) and optical satellite images. This system will need to employ homomorphic encryption techniques, thus allowing key operations to be performed without the need to decrypt the data. This innovative approach will allow a number of key operations to be performed while keeping the data in encrypted form at all times, thus ensuring maximum security and confidentiality.
See all the details of the projects in the Funded Projects