Project

The transport network is a crucial component of Critical Infrastructures (CIs), which are essential for the continuous operation and maintenance of logistics and the single market. EU policy has facilitated the development of an interconnected and easily accessible TEN-T transport network, which, however, also increases the risk of disruptions or damage.

The EU-funded TRANSCEND project (Transport Resilience against Cyber and Non-Cyber Events to prevent Network Disruption) aims to equip freight transport operators with an integrated set of tools, guidelines and technological solutions to enhance protection, reduce risk and improve resilience to various threats, both physical and cyber.
To this end, the project will provide a digital platform (Control Tower) for monitoring and increasing the visibility of threats and risks, and will develop 5 real-world pilot implementations, divided into 3 mains: the airport pilot in Luxembourg, the rail-road terminal pilot in Bologna, Italy and the trimodal port pilot implementation in Spain; and 2 transferability demonstrators: the fluvial port of Budapest and the Egnatia’s highways in Greece. 

Project mission

The overarching objective of TRANSCEND is to provide freight transport critical infrastructure operators with an integrated set of advanced tools, guidelines and technological solutions to reduce risk, and enhance the protection and resilience of their critical infrastructure and interrelated critical infrastructures against physical, cyber and hybrid threats.

Project solution

The contributions will be integrated into a Control Tower, a digital platform with embedded business intelligence giving stakeholders a shared and continuous visibility of threats and risks by breaking down silos within and between organizations. To demonstrate the effectiveness of the approach, five diverse CIs will experiment with methodological and technological solutions as pilots: three leaders and two followers.

Project objectives

Provide an integrated set of advanced tools, guidelines and technological solutions to reduce risk, and enhance the protection and resilience of their critical infrastructure and interrelated critical infrastructures against physical, cyber and hybrid threats.

  1. Improve knowledge of the threat landscape in the freight transport sector, particularly emerging threats in a VUCA world
  2. Improve knowledge of CI vulnerability in a large-scale interconnected system modelling interdependencies and domino effects
  3. Enhance the early detection of threats and incidents
  4. Develop operational procedures to reinforce resilience
  5. Implement security measures and tools to build resilience
  6. Operational testing in real scenarios or realistic simulations of scenarios
  7. Strengthen cooperation at different levels

Project expected results

Target communities

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).