From Conceptual Scaffold to Prototype: A Standardized Zonal Architecture for Wi-Fi Security Training
- URL: http://arxiv.org/abs/2605.07400v1
- Date: Fri, 08 May 2026 07:55:48 GMT
- Title: From Conceptual Scaffold to Prototype: A Standardized Zonal Architecture for Wi-Fi Security Training
- Abstract summary: Cyber Ranges (CRs) have become valuable platforms for cybersecurity training and experimentation.<n>Existing wireless-oriented solutions mainly target heterogeneous IoT or mobile-network settings.<n>This paper introduces a conceptual architecture for a Wi-Fi-focused CR tailored to IEEE 802.11 security scenarios and an open-source prototype.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- 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.
Related papers
- Deploying and validating a metropolitan QKD secure network: architecture and field performance [76.02413102965598]
Quantum Key Distribution provides information-theoretic security for key establishment.<n>A metropolitan-scale quantum-secure network between data centers in Milan is reported.<n>Results establish the technical and operational readiness of metropolitan QKD networks for production deployment.
arXiv Detail & Related papers (2026-07-13T15:51:26Z) - Physical-AI: From Channel Awareness to Environmental Intelligence in 6G Wireless Networks [100.92510794177822]
Conventional wireless networks rely on instantaneous channel state information (CSI) and react to channel variations without explicitly modeling the physical environment.<n>We propose Physical-AI: a new architecture for environment-aware wireless networking, where radio signals enable sensing, modeling, and interaction with the environment.<n>We show that the proposed framework reduces outage probability and blockage-response latency, particularly under increasing beam-switching delays.
arXiv Detail & Related papers (2026-05-12T09:02:20Z) - Secure Wi-Fi Ranging Today: Security and Adoption of IEEE 802.11az/bk [5.178641558831555]
We analyse the core mechanisms of secure Wi-Fi ranging as defined in IEEE 802.11az and IEEE 802.11bk.<n>We show how common deployment choices can result in unauthenticated ranging, downgrade attacks, and simple denial-of-service attacks.<n>Our results show that secure Wi-Fi ranging is highly sensitive to configuration choices and is non-trivial to implement on existing hardware.
arXiv Detail & Related papers (2026-03-19T09:46:43Z) - Architecting Trust: A Framework for Secure IoT Systems Through Trusted Execution and Semantic Middleware [1.7277199466514768]
The Internet of Things (IoT) security landscape requires the architectural solutions that can address the technical and operational challenges.<n>This paper presents the comprehensive security framework for IoT that should integrate the Trusted Execution Environments (TEEs) with the semantic and blockchain technologies.<n>The architecture includes the hardware rooted trust at peripheral level, the zero trust principles at network level, and the semantic security mechanisms at application level.
arXiv Detail & Related papers (2026-02-11T11:48:41Z) - Adversary-Aware Private Inference over Wireless Channels [51.93574339176914]
AI-based sensing at wireless edge devices has the potential to significantly enhance Artificial Intelligence (AI) applications.<n>As sensitive personal data can be reconstructed by an adversary, transformation of the features are required to reduce the risk of privacy violations.<n>We propose a novel framework for privacy-preserving AI-based sensing, where devices apply transformations of extracted features before transmission to a model server.
arXiv Detail & Related papers (2025-10-23T13:02:14Z) - In Numeris Veritas: An Empirical Measurement of Wi-Fi Integration in Industry [0.0]
A critical knowledge gap exists regarding the prevalence and security configuration of Wi-Fi in real-world settings.<n>We create the first publicly available dataset of 1,087 high-confidence industrial Wi-Fi networks.<n>Our findings reveal a growing adoption of Wi-Fi across industrial sectors but underscore alarming security deficiencies.
arXiv Detail & Related papers (2025-09-21T09:01:58Z) - Bridging the Mobile Trust Gap: A Zero Trust Framework for Consumer-Facing Applications [51.56484100374058]
This paper proposes an extended Zero Trust model designed for mobile applications operating in untrusted, user-controlled environments.<n>Using a design science methodology, the study introduced a six-pillar framework that supports runtime enforcement of trust.<n>The proposed model offers a practical and standards-aligned approach to securing mobile applications beyond pre-deployment controls.
arXiv Detail & Related papers (2025-08-20T18:42:36Z) - Security Enclave Architecture for Heterogeneous Security Primitives for Supply-Chain Attacks [7.9837065464150685]
This paper explores the range of obstacles encountered when building a unified security architecture capable of addressing multiple attack vectors.<n>We present a thorough evaluation of its impact on silicon area and power consumption across various ASIC technologies.
arXiv Detail & Related papers (2025-07-15T04:28:02Z) - Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things [61.43014629640404]
Zero-Trust Foundation Models (ZTFMs) embed zero-trust security principles into the lifecycle of foundation models (FMs) for Internet of Things (IoT) systems.<n>ZTFMs can enable secure, privacy-preserving AI across distributed, heterogeneous, and potentially adversarial IoT environments.
arXiv Detail & Related papers (2025-05-26T06:44:31Z) - ACRIC: Securing Legacy Communication Networks via Authenticated Cyclic Redundancy Integrity Check [98.34702864029796]
Recent security incidents in safety-critical industries exposed how the lack of proper message authentication enables attackers to inject malicious commands or alter system behavior.<n>These shortcomings have prompted new regulations that emphasize the pressing need to strengthen cybersecurity.<n>We introduce ACRIC, a message authentication solution to secure legacy industrial communications.
arXiv Detail & Related papers (2024-11-21T18:26:05Z) - Securing the Open RAN Infrastructure: Exploring Vulnerabilities in Kubernetes Deployments [60.51751612363882]
We investigate the security implications of and software-based Open Radio Access Network (RAN) systems.
We highlight the presence of potential vulnerabilities and misconfigurations in the infrastructure supporting the Near Real-Time RAN Controller (RIC) cluster.
arXiv Detail & Related papers (2024-05-03T07:18:45Z) - SemProtector: A Unified Framework for Semantic Protection in Deep Learning-based Semantic Communication Systems [51.97204522852634]
We present a unified framework that aims to secure an online semantic communications system with three semantic protection modules.
Specifically, these protection modules are able to encrypt semantics to be transmitted by an encryption method, mitigate privacy risks from wireless channels by a perturbation mechanism, and calibrate distorted semantics at the destination.
Our framework enables an existing online SC system to dynamically assemble the above three pluggable modules to meet customized semantic protection requirements.
arXiv Detail & Related papers (2023-09-04T06:34:43Z) - Intelligent Zero Trust Architecture for 5G/6G Tactical Networks:
Principles, Challenges, and the Role of Machine Learning [4.314956204483074]
We highlight the challenges and introduce the concept of an intelligent zero trust architecture (i-ZTA) as a security framework in 5G/6G networks with untrusted components.
This paper presents the architectural design of an i-ZTA upon which modern artificial intelligence (AI) algorithms can be developed to provide information security in untrusted networks.
arXiv Detail & Related papers (2021-05-04T13:14:29Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.