Precheck Sequence Based False Base Station Detection
Abstract—False Base Station (FBS) attack has been a severe security problem for the cellular network since 2G era. During handover, the user equipment (UE) periodically receives state
Abstract—False Base Station (FBS) attack has been a severe security problem for the cellular network since 2G era. During handover, the user equipment (UE) periodically receives state
With the growing demand for high accuracy indoor localization, the fifth generation (5G) wireless communication technology based localization attracts increasin
Emulating real-world 5G conditions, we implement a functional split in the 5G base station and deploy the False Base Station Detection Function (FDF) as a 5G NF (Network Function) within
Mobile networking in 4G and 5G remains vulnerable against fake base stations. A fake base station can inject and manipulate the radio resource control (RRC) communication
Learn how to use a vector signal generator, frequency extender, and signal generation software to characterize performance, verify RF subsystems,
We designed and built a defense scheme which detects and blacklists a fake base station and then, informed by the detection, avoids it through link routing for connectivity
The aim of this study is to mitigate UE attachments against fake base stations through detection and localization.This study developed and proposed effective detection and localization
To address these issues, this article proposes a mathematical model for optimizing 5G base station coverage and introduces an innovative adaptive mutation genetic algorithm
With the growing demand for high accuracy indoor localization, the fifth generation (5G) wireless communication technology based localization attracts increasin
Introduce a native 5G network function that can detect false base stations using ML algorithms. Built and configured a simulation environment that allows Functional Split and DU
Learn how to use a vector signal generator, frequency extender, and signal generation software to characterize performance, verify RF subsystems, and conduct functional testing.
This research developed both detection and localization algorithm for Fake Base Stations in a 5G network environment. Based on the simulation results, the algorithm performs
PDF version includes complete article with source references.
Get technical specifications, ROI analysis tools, and pricing information for our BESS integration and energy storage solutions.
Av. de la Innovación 15
28042 Madrid, Spain
+34 91 133 2769
Monday - Friday: 9:00 AM - 6:00 PM CET