CARAMEL is a project that aims to introduce innovative anti-hacking intrusion detection/prevention systems for the European automotive industry. CARAMEL’s goal is to proactively address modern vehicle cybersecurity challenges applying advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques and also to continuously seek methods to mitigate associated safety risks. In order to address cybersecurity considerations for the already here autonomous and connected vehicles, well-established methodologies coming from the ICT sector will be adopted, allowing to assess vulnerabilities and potential cyberattack impacts. Although past initiatives and cybersecurity projects related to the automotive industry have reached security assurance frameworks for networked vehicles, several newly introduced technological dimensions like 5G, autopilots, and smart charging of Electric Vehicles (EVs) introduce cybersecurity gaps, not addressed satisfactorily yet. Considering the entire supply chain of automotive operations, CARAMEL targets to reach commercial anti-hacking IDS/IPS products for the European automotive cybersecurity and to demonstrate their value through extensive attack and penetration scenarios.
For More Info: https://www.h2020caramel.eu/
SecureIoT project focuses on delivering predictive IoT security services, which span multiple IoT platforms and networks of smart objects and are based on security building blocks at both the edge and the core of IoT systems.SecureIoT will provide implementations of security data collection, security monitoring, and predictive security mechanisms to offer integrated services for risk assessment, compliance auditing against regulations and directives (e.g. GDPR, NIS, ePrivacy), as well as to support the IoT developers. Foretelling and anticipation of the security behavior of IoT entities is the main concept emphasized by SecureIoT. The provided services span security compliance auditing, automated risk assessment, and mitigation, as well as support for IoT security-aware programming.
For More Info: https://secureiot.eu/
AVENUE aims to design and carry out full-scale demonstrations of urban transport automation by deploying, for the first time worldwide, fleets of autonomous minibusses in low to medium demand areas of 4 European demonstrator cities (Geneva, Lyon, Copenhagen, and Luxembourg) and later on of 3 replicator cities. AVENUE revisits the offered public transportation services, starting from the original problem, which is to allow passengers to move from one place to another. It takes into account their special needs and time constraints, instead of trying to accommodate autonomous vehicles to the existing solutions of prescheduled bus itineraries. In this context, AVENUE introduces disruptive public transportation paradigms on the basis of door-to-door services and the nascent concept of the ‘Mobility Cloud’, aiming to set up a new model of public transportation. This model enables multimodal public transportation blending conventional public transport with new service models such as those of the sharing economy, and making use of all possible transportation modes (from bicycles to trains and, of course, autonomous vehicles).
For More Info:https://h2020-avenue.eu/
CPSoSaware project aims at developing the models and software tools to describe a CPSoS in a holistic and abstract way and to allocate computational power/resources to the CPS end devices of the System by determining and generating autonomously what cyber-physical processes will be handled by a device’s each heterogeneous component (processor cores, GPUs, FPGA fabric) and software components (software stacks). The solution will rely on Artificial Intelligence support in order to strengthen the reliability, fault tolerance, and security at the system level but also will be able to lead to CPS designs that work in a decentralized way, collaboratively, in equilibrium, by sharing tasks and data with minimal central intervention. Also, the CPSoSaware system will interact with the CPS/CPSoS human users/operators through extended reality modules (AR glasses, haptics interfaces) to increase human situational awareness but also to include human behavior n the CPSoS design and operation phase (using human-based reinforced learning of the CPSoSaware).
For More Info:https://cpsosaware.eu/