Mediate horizon eu project

Mediate's focus is to study and develop an infrastructure that aims to strengthen cybersecurity across the computing continuum: an architecture in which data can be manipulated at every level of the computing ecosystem (IoT, edge, cloud). Mediate aims to develop a robust, intelligent and adaptive cybersecurity frameworks based on zero-trust principles and federated learning (FL) to provide continuous, distributed security scrutiny across all layers of the continuum.

The main purposes of this project are:

Develop a dynamic zero-trust cybersecurity framework for complex computing continuum environments.
Establish a scalable and intelligent Cybersecurity Command System
Intelligent AI-based Decision Support System (DSS) for Vulnerability Adaptation and Asset/Entity Clearance Scheme
Efficient AI-based Cyber Threat Intelligence (CTI) for risk analysis
Implement dynamic, risk-based access control mechanisms to enforce the Principle of Least Privilege (PoLP) and continuous verification of user actions in a zero-trust environment.
Enforce security on reconfigurable hardware edge/cloud sentinel platforms
Deployment, validation and evaluation of critical infrastructure in the context of advanced fourth-party logistics (4PL) operations across supply chain environments.
Business plan definition for the post-project exploitation of the MEDIATE framework

Mediate project overview

Mediate proposes a multi-layered architecture that combines hardware and software solutions to implement a predictive threat intelligence approach. This approach uses AI and machine learning models to identify and correlate data from various sources, in order to anticipate, identify and mitigate cyberattacks before they occur. The two main components are the Sentinel (hardware) and the Orchestrator (software). The Sentinel uses a processor-based FPGA technology which allows the cybersecurity algorithm to be reconfigured. The algorithm is updated dynamically based on input data and system status preventing simple decryption of the update. This device provides cybersecurity in the IoT level of the cybersecurity system blocking possible attack through sensor data. The Orchestrator enables real-time data exchange between IoT, Edge and Cloud nodes via an advanced publish/subscribe model. It improves decision-making through Federated Learning and labelled property graphs, which help to understand complex relationships within the network. It also strengthens security by applying zero trust principles, which involve continuous validation of interactions and strategic human oversight. To evaluate this infrastructure, Mediate is focusing on three environments, on three pilot, where the cybersecurity is involved in the logistic workflow: Sea Freight Operations and Management, Smart Warehousing and Last-Mile Delivery.

Alkè's role in the Mediate project

Alkè’s role in the Mediate project is to provide a state-of-the-art electric vehicle (EV) that will be used as a mobile access hub. The ALKE use case will validate the MEDIATE secure platform solution in the automotive sector. It will demonstrate the solution in three main situations involving the attack surface of last-mile deliveries using EV hubs:

Attack on the sensing layer: Here we look at how intruders could attack the guidance system, particularly the sensor system, which could cause the vehicle’s control unit to malfunction, putting passengers and other road users at risk.
Cloud-level attacks: Apart from detecting and stopping cyber attacks on the vehicle, MEDIATE also makes the system more resistant to cyber-attacks at higher levels, including hacking the cloud platform.
Attack on the lockers: This example shows how the MEDIATE solution provides a security layer for the physical lockers on board mobile hubs. This prevents people from gaining access without permission and taking parcels without authorisation.

For more details on the Mediate project visit: www.mediate-horizon.eu.
This project has received funding from the European Union’s Horizon Europe innovation programme under grant agreement No 101168465.
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