TY - GEN
T1 - Detecting O-RAN Synchronization Attacks via 5G NR Positioning
AU - Mezzavilla, Marco
AU - Azzino, Tommy
AU - Rangan, Sundeep
AU - Krishnamurthy, Prashanth
AU - Karri, Ramesh
AU - Khorrami, Farshad
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Open Radio Access Network (O-RAN) architecture has ushered in a new era of flexibility and innovation in telecommunications. A challenge in such open architectures is the expanded attack surface via the interfaces and transport network between elements. This paper explores the significance of a particularly critical vulnerability, namely O- RAN synchronization plane responsible for maintaining precise timing and coordination among network elements. Ensuring the integrity and reliability of synchronization is paramount to guaranteeing the seamless operation of 5G and future networks. This paper introduces a framework to detect synchronization attacks by leveraging 5G NR positioning reference signals. The detection accuracy of the algorithm has been validated by testing a classifier that was trained on a realistic raytracing dataset.
AB - Open Radio Access Network (O-RAN) architecture has ushered in a new era of flexibility and innovation in telecommunications. A challenge in such open architectures is the expanded attack surface via the interfaces and transport network between elements. This paper explores the significance of a particularly critical vulnerability, namely O- RAN synchronization plane responsible for maintaining precise timing and coordination among network elements. Ensuring the integrity and reliability of synchronization is paramount to guaranteeing the seamless operation of 5G and future networks. This paper introduces a framework to detect synchronization attacks by leveraging 5G NR positioning reference signals. The detection accuracy of the algorithm has been validated by testing a classifier that was trained on a realistic raytracing dataset.
UR - http://www.scopus.com/inward/record.url?scp=85202451444&partnerID=8YFLogxK
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U2 - 10.1109/ICCWorkshops59551.2024.10615754
DO - 10.1109/ICCWorkshops59551.2024.10615754
M3 - Conference contribution
AN - SCOPUS:85202451444
T3 - 2024 IEEE International Conference on Communications Workshops, ICC Workshops 2024
SP - 541
EP - 547
BT - 2024 IEEE International Conference on Communications Workshops, ICC Workshops 2024
A2 - Valenti, Matthew
A2 - Reed, David
A2 - Torres, Melissa
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 59th Annual IEEE International Conference on Communications Workshops, ICC Workshops 2024
Y2 - 9 June 2024 through 13 June 2024
ER -