An Extensive Classification of 5G Network Jamming Attacks

Abstract

The paper introduces a pioneering taxonomy for 5G jamming attacks, meticulously crafted through diverse research methodologies, including literature review, case studies, incident database analysis, and network architecture assessment. This taxonomy is based on six dimensions: attack classification, attack techniques, jammer characteristics, impact and target analysis, countermeasure strategies, and security layers. It gives a full picture of what is needed to protect 5G networks from new security threats, especially jamming attacks. Real‐world case studies from regions like Ukraine, the South China Sea, and Cuba validate the taxonomy’s efficacy in analyzing varied jamming scenarios and offer practical insights into cyber threats and mitigation strategies. By looking closely at attack details, network effects, countermeasure strategies, and security layers, this research makes a big difference in improving the security of 5G networks. It gives everyone involved, the tools and knowledge they need to protect themselves from jamming attacks and make networks more resilient in a world where technology and connectivity are changing quickly. The key findings of this research include identifying key 5G network vulnerabilities to jamming attacks and presenting a detailed six‐dimensional taxonomy: attack classification, techniques, jammer characteristics, impact analysis, countermeasures, and security layers. It emphasizes the need for strong security strategies to improve 5G network resilience against evolving threats, which case studies from Cuba, the South China Sea, and Ukraine have validated.