Linkedin X-twitter

TRANSCEND establishes a new synergy with D-NAVIO project

In its effort to strengthen resilience of Critical Infrastructure across Europe, TRANSCEND project has established a new synergy with the D-NAVIO project, an EU-funded project under Cluster 5 Horizon Programme focusing on the management and protection of highly digitalised ships through a digital twin-based solution.

While TRANSCEND aims to safeguard critical freight infrastructure against both cyber and non-cyber threats through its Control Tower to advance the understanding, monitoring, and enhancement of ecosystem resilience,  D-NAVIO’s goal is to create an Intelligent Digital Twin (IDT) – a dynamic, virtual “clone” of a ship that can continuously learn, predict, and act based on data gathered from real operations to reduce risks.

More about D-NAVIO

D-NAVIO is a 3-year project involving a multidisciplinary consortium of 16 partners frοm 7 Countries across Europe. D-NAVIO aims to redefine how ships are designed, monitored, and maintained by bringing together cutting-edge AI, maritime engineering, and digital-twin innovation. The vision of the D-NAVIO project is to revolutionise risk assessment and resilience in complex vessels through a Digital Twin-based approach. D-NAVIO combines explainable AI and self-healing technologies to forecast and prevent failures, including a digital twin library, a ‘memory of failures’ system, and advanced risk assessment models that will be tested on both a cruise ship and a container vessel.

The synergy established between TRANSCEND and D-NAVIO is a crucial step to explore deeper our common objectives to foster resilience in sea ports and container vessels. 

Our consortium looks forward to collaborating through synergic actions with partners from D-NAVIO project!



D-NAVIO contacts

Linkedin-in X-twitter
Rationale

Ensuring the resilience of Critical Infrastructures (CIs), particularly in the transport sector, has become increasingly vital. Today, there is a strong emphasis on securing information systems and effectively managing risks that could disrupt these essential services. Moreover, CIs are becoming progressively more interdependent across sectors; for example, energy is essential for telecommunications, which in turn supports logistics and transport operations. This growing interconnectedness increases systemic complexity and makes CIs more vulnerable to sophisticated cyber-physical attacks. As a result, understanding and modelling dependencies both across different sectors and domains, and within operators of the same CI, is not only required by regulations, but also crucial for improving preparedness, risk management, and coordinated incident response.

Objective

 The primary objective of the ecosystem modelling module is to analyse an ecosystem surrounding a CI as a whole and to provide the foundations for simulating potential impacts on the resilience of a supply chain composed of multiple entities (both internal and external to the CI) by propagating risk consequences across dependencies (domino effect).