TIMESAFE: Timing Interruption Monitoring and Security Assessment for Fronthaul Environments.

5G and beyond cellular systems embrace the disaggregation of Radio Access Network (RAN) components, exemplified by the evolution of the fronthaul (FH) connection between cellular baseband and radio unit equipment. Crucially, synchronization over the FH is pivotal for reliable 5G services. In recent years, there has been a push to move these links to an Ethernet-based packet network topology, leveraging existing standards and ongoing research for Time-Sensitive Networking (TSN). However, TSN standards, such as Precision Time Protocol (PTP), focus on performance with little to no concern for security. This increases the exposure of the open FH to security risks. Attacks targeting synchronization mechanisms pose significant threats, potentially disrupting 5G networks and impairing connectivity. In this article, we demonstrate the impact of successful spoofing and replay attacks against PTP synchronization. We show how a spoofing attack is able to cause a production-ready O-RAN and 5G-compliant private cellular base station to catastrophically fail within 2 seconds of the attack, necessitating manual intervention to restore full network operations. To counter this, we design a Machine Learning (ML)-based monitoring solution capable of detecting various malicious attacks with over 97.5% accuracy.

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Publication Details

Journal
ACM Transactions on Privacy and Security
Published
2025-11-15
DOI
https://doi.org/10.1145/3775060
Primary Topic
Network Time Synchronization Technologies
Type
article
Field-Weighted Citation Impact
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article

TIMESAFE: Timing Interruption Monitoring and Security Assessment for Fronthaul Environments.

Joshua Groen, Leonardo Bonati, Michele Polese, Francesca Cuomo et al.
ACM Transactions on Privacy and Security
Network Time Synchronization Technologies
article

TIMESAFE: Timing Interruption Monitoring and Security Assessment for Fronthaul Environments.

Joshua Groen, Leonardo Bonati, Michele Polese, Francesca Cuomo, Salvatore D’Oro, Tommaso Melodia, Imtiaz Karim, Elisa Bertino, Davide Villa, Kaushik Chowdhury, Yiwei Zhang, Simone DiValerio
article en

Abstract

5G and beyond cellular systems embrace the disaggregation of Radio Access Network (RAN) components, exemplified by the evolution of the fronthaul (FH) connection between cellular baseband and radio unit equipment. Crucially, synchronization over the FH is pivotal for reliable 5G services. In recent years, there has been a push to move these links to an Ethernet-based packet network topology, leveraging existing standards and ongoing research for Time-Sensitive Networking (TSN). However, TSN standards, such as Precision Time Protocol (PTP), focus on performance with little to no concern for security. This increases the exposure of the open FH to security risks. Attacks targeting synchronization mechanisms pose significant threats, potentially disrupting 5G networks and impairing connectivity. In this article, we demonstrate the impact of successful spoofing and replay attacks against PTP synchronization. We show how a spoofing attack is able to cause a production-ready O-RAN and 5G-compliant private cellular base station to catastrophically fail within 2 seconds of the attack, necessitating manual intervention to restore full network operations. To counter this, we design a Machine Learning (ML)-based monitoring solution capable of detecting various malicious attacks with over 97.5% accuracy.

ACM Transactions on Privacy and SecurityVol. 29(1)
Boston University (US), Northeastern University (US), United States Military Academy (US), Purdue University West Lafayette (US), Military Medical Academy (EG), Sapienza University of Rome (IT), The University of Texas at Austin (US), Universidad del Noreste (MX)
Openalex Percentile: Top 60%
Network Time Synchronization Technologies
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