Open RAN for detection of a jamming attack in a 5G network

Paweł Kryszkiewicz; Marcin Hoffmann

doi:10.1109/VTC2023-Spring57618.2023.10201067

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Title

Open RAN for detection of a jamming attack in a 5G network

Authors

Paweł Kryszkiewicz (WIiT) ^{[ 1 ][ 2.3 ][ P ]}
Marcin Hoffmann (WIiT) ^{[ 1 ][ 2.3 ][ P ]}

^{[ 1 ]} Instytut Radiokomunikacji, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2023

Chapter type

chapter in monograph / paper

Publication language

english

Abstract

EN One of the essential security threats for 5G networks is jamming. It is relatively easy to be performed utilizing cheap and publically available devices. Open Radio Access Network (O-RAN) architecture is very suitable for detecting such events thanks to the openness of interfaces and the ability to analyze wireless traffic metrics and exchange control messages in a RAN Intelligent Controller (RIC) using some dedicated xApp or rApp. This paper presents a statistical method for downlink jamming detection utilizing the link quality reports provided by User Equipments (UEs). A vision of its implementation in O-RAN is presented altogether with performance quality metrics obtained via simulations.

Pages (from - to)

1 - 2

DOI

10.1109/VTC2023-Spring57618.2023.10201067

URL

https://ieeexplore.ieee.org/document/10201067

Book

2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring). Proceedings

Presented on

IEEE 97th Vehicular Technology Conference, VTC2023-Spring, 20-23.06.2023, Florence, Italy

Ministry points / chapter

20