Jamming Attacks on the Random Access Channel in 5G and B5G Networks

arXiv (Cornell University) 2026 Preprint Open access

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Authors: Wilfrid Azariah, Yi-Quan Chen, Zhong-Xin You, Ray‐Guang Cheng, Shiann‐Tsong Sheu, Binbin Chen
Cited by: 0

Abstract

Random Access Channel (RACH) jamming poses a critical security threat to 5G and beyond (B5G) networks. This paper presents an analytical model for predicting the impact of Msg1 jamming attacks on RACH performance. We use the OpenAirInterface (OAI) open-source user equipment (UE) to implement a Msg1 jamming attacker. Over-the-air experiments validate the accuracy of the proposed analytical model. The results show that low-power and stealthy Msg1 jamming can effectively block legitimate UE access in 5G/B5G systems.

Fields of Study & Subjects

Wireless Communication Security Techniques Adversarial Robustness in Machine Learning Vehicular Ad Hoc Networks (VANETs)

Publication details

Journal / source
arXiv (Cornell University)
Publication date
6 February 2026
Language
EN
Document type
Preprint