Generation of realistic signal strength measurements for a 5G Rogue Base Station attack scenario

Mohammad Saedi; Philip Perry; Moore Adrian; Hanif Ullah; Jonathan Synnott; Mohammad Shojafar; Ruth Brown; Ian Herwono

doi:10.1109/CNS48642.2020.9162275

Generation of realistic signal strength measurements for a 5G Rogue Base Station attack scenario

Mohammad Saedi, Philip Perry, Moore Adrian, Hanif Ullah, Jonathan Synnott, Mohammad Shojafar, Ruth Brown, Ian Herwono

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

11 Citations (Scopus)

484 Downloads (Pure)

Abstract

The detection and prevention of cyber-attacks is one of the main challenges in Vehicle-to-Everything (V2X) autonomous platooning scenarios. A key tool in this activity is the measurement report that is generated by User Equipment (UE), containing received signal strength and location information. Such data is effective in techniques to detect Rogue Base Stations (RBS) or Subscription Permanent Identifier SUPI/5G-GUTI catchers. An undetected RBS could result in unwanted consequences such as Denial of Service (DoS) attacks and subscriber privacy attacks on the network and UE. Motivated by this, this paper presents the novel simulation of a 5G cellular system to generate a realistic dataset of signal strength measurements that can later be used in the development of techniques to identify and prevent RBS interventions. The results show that the tool can create a large dataset of realistic measurement reports which can be used to develop and validate RBS detection techniques.

Original language	English
Title of host publication	2020 IEEE Conference on Communications and Network Security, CNS 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-7
Number of pages	7
ISBN (Electronic)	978-1-7281-4760-4, 978-1-7281-4759-8
ISBN (Print)	978-1-7281-4761-1
DOIs	https://doi.org/10.1109/CNS48642.2020.9162275
Publication status	Published (in print/issue) - Jun 2020
Event	2020 IEEE Conference on Communications and Network Security, CNS 2020 - Virtual, Online, France Duration: 29 Jun 2020 → 1 Jul 2020

Publication series

Name	2020 IEEE Conference on Communications and Network Security, CNS 2020

Conference

Conference	2020 IEEE Conference on Communications and Network Security, CNS 2020
Country/Territory	France
City	Virtual, Online
Period	29/06/20 → 1/07/20

Bibliographical note

Funding Information:
ACKNOWLEDGMENT The authors would like to thank the BT Ireland Innovation Center (BTIIC) at Ulster University for supporting this work.

Publisher Copyright:
© 2020 IEEE.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

5G
cyber Security
lTE
privacy
radio Access Network
rogue Base Station
vehicle Platooning

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/CNS48642.2020.9162275

09162275Author Accepted Manuscript, 726 KBLicence: Unspecified

Cite this

Saedi, M., Perry, P., Adrian, M., Ullah, H., Synnott, J., Shojafar, M., Brown, R., & Herwono, I. (2020). Generation of realistic signal strength measurements for a 5G Rogue Base Station attack scenario. In 2020 IEEE Conference on Communications and Network Security, CNS 2020 (pp. 1-7). Article 9162275 (2020 IEEE Conference on Communications and Network Security, CNS 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CNS48642.2020.9162275

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abstract = "The detection and prevention of cyber-attacks is one of the main challenges in Vehicle-to-Everything (V2X) autonomous platooning scenarios. A key tool in this activity is the measurement report that is generated by User Equipment (UE), containing received signal strength and location information. Such data is effective in techniques to detect Rogue Base Stations (RBS) or Subscription Permanent Identifier SUPI/5G-GUTI catchers. An undetected RBS could result in unwanted consequences such as Denial of Service (DoS) attacks and subscriber privacy attacks on the network and UE. Motivated by this, this paper presents the novel simulation of a 5G cellular system to generate a realistic dataset of signal strength measurements that can later be used in the development of techniques to identify and prevent RBS interventions. The results show that the tool can create a large dataset of realistic measurement reports which can be used to develop and validate RBS detection techniques.",

keywords = "5G, cyber Security, lTE, privacy, radio Access Network, rogue Base Station, vehicle Platooning",

author = "Mohammad Saedi and Philip Perry and Moore Adrian and Hanif Ullah and Jonathan Synnott and Mohammad Shojafar and Ruth Brown and Ian Herwono",

note = "Funding Information: ACKNOWLEDGMENT The authors would like to thank the BT Ireland Innovation Center (BTIIC) at Ulster University for supporting this work. Publisher Copyright: {\textcopyright} 2020 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2020 IEEE Conference on Communications and Network Security, CNS 2020 ; Conference date: 29-06-2020 Through 01-07-2020",

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Saedi, M, Perry, P, Adrian, M , Ullah, H , Synnott, J, Shojafar, M, Brown, R & Herwono, I 2020, Generation of realistic signal strength measurements for a 5G Rogue Base Station attack scenario. in 2020 IEEE Conference on Communications and Network Security, CNS 2020., 9162275, 2020 IEEE Conference on Communications and Network Security, CNS 2020, Institute of Electrical and Electronics Engineers Inc., pp. 1-7, 2020 IEEE Conference on Communications and Network Security, CNS 2020, Virtual, Online, France, 29/06/20. https://doi.org/10.1109/CNS48642.2020.9162275

Generation of realistic signal strength measurements for a 5G Rogue Base Station attack scenario. / Saedi, Mohammad; Perry, Philip; Adrian, Moore et al.
2020 IEEE Conference on Communications and Network Security, CNS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 1-7 9162275 (2020 IEEE Conference on Communications and Network Security, CNS 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Shojafar, Mohammad

AU - Brown, Ruth

AU - Herwono, Ian

N1 - Funding Information: ACKNOWLEDGMENT The authors would like to thank the BT Ireland Innovation Center (BTIIC) at Ulster University for supporting this work. Publisher Copyright: © 2020 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2020/6

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N2 - The detection and prevention of cyber-attacks is one of the main challenges in Vehicle-to-Everything (V2X) autonomous platooning scenarios. A key tool in this activity is the measurement report that is generated by User Equipment (UE), containing received signal strength and location information. Such data is effective in techniques to detect Rogue Base Stations (RBS) or Subscription Permanent Identifier SUPI/5G-GUTI catchers. An undetected RBS could result in unwanted consequences such as Denial of Service (DoS) attacks and subscriber privacy attacks on the network and UE. Motivated by this, this paper presents the novel simulation of a 5G cellular system to generate a realistic dataset of signal strength measurements that can later be used in the development of techniques to identify and prevent RBS interventions. The results show that the tool can create a large dataset of realistic measurement reports which can be used to develop and validate RBS detection techniques.

AB - The detection and prevention of cyber-attacks is one of the main challenges in Vehicle-to-Everything (V2X) autonomous platooning scenarios. A key tool in this activity is the measurement report that is generated by User Equipment (UE), containing received signal strength and location information. Such data is effective in techniques to detect Rogue Base Stations (RBS) or Subscription Permanent Identifier SUPI/5G-GUTI catchers. An undetected RBS could result in unwanted consequences such as Denial of Service (DoS) attacks and subscriber privacy attacks on the network and UE. Motivated by this, this paper presents the novel simulation of a 5G cellular system to generate a realistic dataset of signal strength measurements that can later be used in the development of techniques to identify and prevent RBS interventions. The results show that the tool can create a large dataset of realistic measurement reports which can be used to develop and validate RBS detection techniques.

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T3 - 2020 IEEE Conference on Communications and Network Security, CNS 2020

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PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 IEEE Conference on Communications and Network Security, CNS 2020

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ER -

Saedi M, Perry P, Adrian M , Ullah H , Synnott J, Shojafar M et al. Generation of realistic signal strength measurements for a 5G Rogue Base Station attack scenario. In 2020 IEEE Conference on Communications and Network Security, CNS 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 1-7. 9162275. (2020 IEEE Conference on Communications and Network Security, CNS 2020). doi: 10.1109/CNS48642.2020.9162275

Generation of realistic signal strength measurements for a 5G Rogue Base Station attack scenario

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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Cite this