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Study Reveals Vulnerabilities in 5G Networks to Jamming Attacks

Study Reveals Vulnerabilities in 5G Networks to Jamming Attacks

/ 4 min read

Quick take - A study by researchers from the University of Ottawa has revealed vulnerabilities in 5G networks to jamming attacks, highlighting the impact of multiple jammers on network performance and the susceptibility of synchronization signal components, while suggesting that beam sweeping techniques can mitigate some adverse effects.

Fast Facts

  • A University of Ottawa study reveals vulnerabilities in 5G networks to jamming attacks, focusing on the impact of multiple jammers and synchronization signal block (SSB) susceptibility.
  • Key findings indicate that jamming power above 40 dBm does not further reduce network throughput due to the hybrid automatic repeat request (HARQ) process.
  • The physical downlink shared channel (PDSCH) is more vulnerable to jamming than primary and secondary synchronization signals, with smart jammers effectively disrupting the cell search process.
  • Beam sweeping techniques significantly mitigate jamming effects, reducing error vector magnitude root mean square from 51.59% to 23.36%.
  • The study highlights the risks of jamming attacks on critical applications in sectors like national defense and healthcare, emphasizing the need for effective countermeasures.

Vulnerabilities in 5G Networks to Jamming Attacks

A recent study conducted by researchers from the University of Ottawa has highlighted vulnerabilities in 5G networks to jamming attacks. The research team, comprising Ghazal Asemian, Michel Kulhandjian, Mohammadreza Amini, Burak Kantarci, Claude D’Amours, and Melike Erol-Kantarci, focused on two main aspects of these vulnerabilities.

Key Findings of the Study

The study examined the impact of multiple jammers on 5G cell metrics and the susceptibility of synchronization signal block (SSB) components. The investigation included scenarios involving connected vehicles (CVs) and user equipment (UE) mobility. The researchers utilized the spatio-temporal parametric stepping (STEPS) mobility model to analyze the effects of jamming.

One of the key findings of the study is that increasing jamming power beyond 40 dBm does not further reduce network throughput. This is attributed to the hybrid automatic repeat request (HARQ) process, which helps mitigate data loss during transmission. The study identified the physical downlink shared channel (PDSCH) as more vulnerable to jamming compared to the primary synchronization signal (PSS) and secondary synchronization signal (SSS).

The research also found that a smart jammer can effectively disrupt the cell search process by targeting specific signals, including PSS-SSS or physical broadcast channel (PBCH) data, requiring less power than a barrage jammer. The study demonstrated that beam sweeping techniques can significantly mitigate the adverse effects of a smart jammer. Under identical jamming power conditions, beam sweeping reduced the error vector magnitude root mean square from 51.59% to 23.36%.

Implications of Jamming Attacks

The paper emphasized growing concerns regarding jamming attacks on 5G networks. These attacks pose risks to critical applications across various sectors, including national defense and healthcare. Jamming attacks can occur at multiple levels, including physical, network, and application layers, and can involve diverse strategies such as proactive, reactive, and protocol-specific jamming.

The SSB is particularly vital for 5G communication, as attacks on this component can lead to denial of service and increased power consumption. The research utilized a dynamic network configuration to simulate user mobility and inter-cell interference in 5G networks, employing a jamming model incorporating both barrage and smart jammers. The performance analysis was conducted using the MATLAB 5G Toolbox, taking into account factors such as UE mobility, jammer position, and targeted reference signals.

Results indicated that the introduction of multiple jammers results in a substantial decrease in throughput and goodput, with diminishing returns as the number of jammers increases. Higher jamming power correlates with lower throughput and goodput, and distinctions were made between total packets and new arrivals affecting overall performance metrics. The vulnerability of the SSB to jamming is particularly concerning, as the study showed that smart jammers can disrupt communication more efficiently than barrage jammers.

Understanding the dynamics of jamming attacks is crucial for developing effective countermeasures in 5G networks. This study was supported by funding from the Innovation for Defence Excellence and Security (IDEaS) program, with additional support from the NSERC CREATE TRAVERSAL program.

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