Secure Realtime Communications over 5G PhD Researcher Name Mohammad Saedi Supervisors Adrian Moore Christopher Nugent Philip Perry Contribution to Knowledge To create a data set that ID: 806570
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Project AimTo model a Rogue Base Station (RBS) identification system based on anomaly-based detection, using machine learning methods. Our approach is based on using the data contained in the Measurement Reports collected by User Equipment (UE) to identify inconsistencies in received signal levels and location information when an RBS uses the identity of a Legitimate Base Station (LBS).
Secure Real-time Communications over 5G
PhD Researcher Name: Mohammad Saedi
Supervisors: Adrian Moore, Christopher Nugent, Philip Perry
Contribution to KnowledgeTo create a data set that enables the fingerprint of an RBS to be detected This involves building a tool that can generate realistic streams of radio dataTo model an RBS identification systemHow to detect rogue base stations and what actions should be taken to rectify such problems in the future.
Problem OverviewThe essential vulnerabilities and attacks on access networks are currently a key topic of research in 5G networks. 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 UE, containing received signal strength and location information. Such data is effective in techniques to detect 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. 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.
Results
PublicationsM. Saedi et al., "Generation of realistic signal strength measurements for a 5G Rogue Base Station attack scenario," 2020 IEEE Conference on Communications and Network Security (CNS), Avignon, France, 2020, pp. 1-7.doi: 10.1109/CNS48642.2020.9162275keywords: {5G;lTE;rogue Base Station;cyber Security;vehicle Platooning;privacy;radio Access Network},URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9162275&isnumber=9162157