From Conceptual Scaffold to Prototype: A Standardized Zonal Architecture for Wi-Fi Security Training
Vyron Kampourakis, Efstratios Chatzoglou, Vasileios Gkioulos, Sokratis Katsikas
TLDR
This paper introduces a standardized zonal architecture and open-source prototype for a Wi-Fi-focused Cyber Range to improve security training.
Key contributions
- Addresses the gap of limited dedicated Cyber Ranges for Wi-Fi-specific security training.
- Introduces a conceptual zonal architecture for Wi-Fi-focused Cyber Ranges (CRs).
- Presents an open-source prototype implementing scenario generation and instantiation.
- The architecture promotes modularity, scalability, and extensibility for future CR platforms.
Why it matters
Wi-Fi security is crucial, yet dedicated training environments are scarce. This paper offers a structured, modular architecture and prototype for a Wi-Fi-focused Cyber Range, enabling more effective and targeted security experimentation. This fills a critical gap in cybersecurity education.
Original Abstract
Wi-Fi is the dominant wireless access technology, but its widespread use also exposes systems to threats such as rogue access points, deauthentication attacks, and other IEEE 802.11-specific vulnerabilities. Although Cyber Ranges (CRs) have become valuable platforms for cybersecurity training and experimentation, existing wireless-oriented solutions mainly target heterogeneous IoT or mobile-network settings, with Wi-Fi typically treated as one among many. As a result, dedicated CR environments for Wi-Fi-specific security experimentation remain limited. This gap is particularly relevant because wireless attacks often require protocol-aware experimentation that is difficult to reproduce in conventional training environments. This paper introduces a conceptual architecture for a Wi-Fi-focused CR tailored to IEEE 802.11 security scenarios and an open-source prototype. The proposed design is grounded in established CR design principles and organized around core infrastructure, learning management and support, monitoring, management, and access-control zones. Structuring the platform into these distinct zones, the architecture supports modularity, scalability, and future extensibility. Part of the design is realized in a prototype publicly available in a GitHub repository that implements the scenario generation, storage, retrieval, and instantiation workflow, offering an initial practical foundation for the proposed architecture. Overall, the paper provides a structured foundation for the future implementation of Wi-Fi-specialized CR platforms for targeted experimentation.
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