SAFURE targets the design of cyber-physical systems by implementing a methodology that ensures safety and security "by construction". This methodology is enabled by a framework developed to extend system capabilities so as to control the concurrent effects of security threats on the system behaviour. The current approach for security on safety-critical embedded systems is generally to keep subsystems separated, but this approach is now being challenged by technological evolution towards openness, increased communications and use of multi-core architectures. The objectives of SAFURE are to (1) implement a holistic approach to safety and security of embedded dependable systems, preventing and detecting potential attacks; (2) to empower designers and developers with analysis methods, development tools and execution capabilities that jointly consider security and safety; (3) to set the ground for the development of SAFURE-compliant mixed-critical embedded products. The results of SAFURE will be (1) a framework with the capability to detect, prevent and protect from security threats on safety, able to monitor from application level down to the hardware level potential attacks to system integrity from time, energy, temperature and data threats; (2) a methodology that supports the joint design of safety and security of embedded systems, assisting the designer and developers with tools and modelling languages extensions; (3) proof-of concept through 3 industrial use cases in automotive and telecommunications; (4) recommendations for extensions of standards to integrate security on safety-critical systems; (5) specifications to design and develop SAFURE-compliant products. The impact of SAFURE will help European suppliers of safety-critical embedded products to develop more cost and energy-aware solutions. To ensure this impact, a community will be created around the project. SAFURE comprises 7 industrial manufacturers, 4 leading universities and research centres and 1 SME.

nIoVe aims to deploy a novel multi-layered interoperable cybersecurity solution for the Internet-of-Vehicles (IoV), with emphasis of the Connected and Autonomous Vehicles (CAVs) ecosystem by employing an advanced cybersecurity system enabling all relevant stakeholders and incident response teams to share cyber threat intelligence, synchronize and coordinate their cybersecurity strategies, response and recovery activities. To do so the project develops a set of in-vehicle and V2X data collectors that will feed nIoVe’s machine learning platform and tools for threat analysis and situational awareness across the IoV ecosystem. Advanced visual and data analytics are further enhanced and adapted to boost cyber-threat detection performance under complex attack scenarios, while IoV stakeholders are jointly engaged in incident response activities through trusted mechanisms. The proposed approach is supported by interoperable data exchange between existing and newly proposed cybersecurity tools. nIoVe solution will be demonstrated and validated in 3 pilots: Hybrid execution environment, simulated environment and real-world conditions. Overall, nIoVe ambitiously expects to (i) reduce the attack surface of the overall IoV ecosystem, (ii) showcase effective and real-time detection of novel advanced threats and cyber-attacks in IoV ecosystems; (iii) reduce substantially the response time and reduce drastically the impact of breaches; (iv) contribute to the establishment and sustainable operation of Computer Security Incident Response Teams (CSIRTs) stimulating information and knowledge sharing across the IoV ecosystem; and (v) paves the way for the next generation robust, scalable and resilient IoV infrastructure. nIoVe draws and builds upon the accumulated experience from its consortium consisted of 13 partners from 6 European countries and Israel, will implement the project, which is organized in 8 workpackages and will be completed within 36 months.