City Research Online

Abstract

This repository contains datasets used for the research and evaluation of machine learning-based detection of Rogue Base Stations (RBS) in 5G networks. These datasets were generated using realistic signal strength measurements as described in our published papers (see Citation section below). Each dataset consists of CSV files representing signal strength data from a simulated vehicular scenario, containing both Legitimate Base Stations (LBS) and Rogue Base Stations (RBS), across different window sizes.

Publication Type:	Dataset
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments:	School of Science & Technology School of Science & Technology > Department of Computer Science
SWORD Depositor:	Symplectic Administrator

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