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Electromagnetic spectrum (EMS) attacks aim to exploit vulnerabilities across electromagnetic radiation frequencies to disrupt, control, or intercept communications and operations in cyber-physical systems. This paper presents a low-cost and modular EMS threat monitoring system for real-time detection and visualization of cyber electromagnetic threats. At the hardware layer, the system is built using affordable hardware components such as Software Defined Radio (SDN), Raspberry Pi, and Global Positioning System (GPS) modules. At the software layer, custom Pyhton-based scripts have been developed, capable of both simulating and detecting electromagnetic threats such as GPS spoofing, wireless network impersonation, and signal jamming. For each examined attack, practical mitigation controls applicable for operational deployment are described. The effectiveness and responsiveness of the proposed platform have been demonstrated by conducting controlled experiments in a cyber range environment. Finally, future directions are considered, that may further improve the EMS threat detection capabilities of the proposed platform.

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Designing and Testing a Low-Cost Electromagnetic Spectrum Attack Threat Monitoring System

  • 会议论文

  • 发表日期：

    2026年

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  • Vasileios Andrianopoulos,
  • Panayiotis Kotzanikolaou,
  • Christos Douligeris

摘要

Electromagnetic spectrum (EMS) attacks aim to exploit vulnerabilities across electromagnetic radiation frequencies to disrupt, control, or intercept communications and operations in cyber-physical systems. This paper presents a low-cost and modular EMS threat monitoring system for real-time detection and visualization of cyber electromagnetic threats. At the hardware layer, the system is built using affordable hardware components such as Software Defined Radio (SDN), Raspberry Pi, and Global Positioning System (GPS) modules. At the software layer, custom Pyhton-based scripts have been developed, capable of both simulating and detecting electromagnetic threats such as GPS spoofing, wireless network impersonation, and signal jamming. For each examined attack, practical mitigation controls applicable for operational deployment are described. The effectiveness and responsiveness of the proposed platform have been demonstrated by conducting controlled experiments in a cyber range environment. Finally, future directions are considered, that may further improve the EMS threat detection capabilities of the proposed platform.