This thesis presents a simulation framework for passive sniffing in a 5G New Radio outdoor scenario, focusing on network traffic monitoring. Using the ns-3 simulator and the Random Walk Mobility Model, it investigates the capture of control plane messages in environments with varying node densities and mobility conditions. The study evaluates the effectiveness of the sniffing mechanism, highlighting its performance under realistic urban mobility patterns.
SIMULATION OF PASSIVE SNIFFING IN A 5G NEW RADIO ENVIRONMENT: OUTDOOR TRAFFIC MONITORING USING A RANDOM WALK MOBILITY MODEL
FEMIANO, ALESSIA
2023/2024
Abstract
This thesis presents a simulation framework for passive sniffing in a 5G New Radio outdoor scenario, focusing on network traffic monitoring. Using the ns-3 simulator and the Random Walk Mobility Model, it investigates the capture of control plane messages in environments with varying node densities and mobility conditions. The study evaluates the effectiveness of the sniffing mechanism, highlighting its performance under realistic urban mobility patterns.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
Tesi_Esse3_AlessiaFemiano.pdf
File consultabile da postazioni biblioteca
Descrizione: Tesi definitiva
Dimensione
4.67 MB
Formato
Adobe PDF
|
4.67 MB | Adobe PDF |
I documenti in UNITESI sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/20.500.14253/64911