SearcharxivSearch

arXiv subjects

Theofanis Eleftheriadis

Publications and source records attributed to Theofanis Eleftheriadis.

2 recordsLinked to original sources

A Modular Cyber Range Platform for Smart Energy Systems

Modern critical infrastructure requires realistic training tools that bridge the gap between digital vulnerabilities and physical consequences. This paper introduces a lightweight, modular Cyber Range (CR) designed to simulate Information Technology (IT) and Operational Technology (OT) environments with high fidelity. Using the FastAPI framework as backend and Quick Emulator (QEMU)/Kernel-based Virtual Machine (KVM) virtualisation, the platform employs a YAML-based engine to automatically deploy complex networks on standard hardware with minimal overhead. To demonstrate its capabilities, we present a Photovoltaic (PV) Plant scenario set in a fictional smart city. The scenario follows a multi-stage attack that begins with the compromise of a home Internet of Things (IoT) device and escalates into a major power outage at a military base. The proposed CR, natively supports industrial protocols such as Modbus/TCP and Message Queuing Telemetry Transport (MQTT) and includes a "Green Team" framework for evaluating human performance during crisis situations. This paper describes the system architecture, automated setup, protocol-simulation capabilities, and scenario design.

cs.CR

ACTING: A Platform for Cyber Ranges Federation

Cyber Defence (CD) training requires interoperable cyber-range environments capable of supporting complex, multidomain exercises across distributed infrastructures. This paper presents three main contributions addressing this challenge. First, we introduce the Exercise Description Language - First Generation (EDL-FG), a structured language for formally describing cyber-range training services and exercises. EDL-FG captures both the technical infrastructure required to emulate ICT/OT environments and the scenario logic governing cyber events, injects, and participant interactions, enabling interoperable and automated scenario deployment across federated Cyber Ranges (CRs). Second, the ACTING platform introduces automated PE and scoring mechanisms that assess trainee actions during exercises through coordinated data collection and analysis across participating CRs. Third, the platform enables multi-domain cyber training scenarios that combine civilian and military operational contexts. Building upon federation capabilities established under the H2020 ECHO project, ACTING demonstrates how interoperable scenario description and automated evaluation support scalable and realistic CD training.

cs.CR