Tesi etd-03272026-182748 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
GRASSI, GIACOMO
URN
etd-03272026-182748
Titolo
Design and performance evaluation of an Anomaly Detection xApp for ORAN-based 5G Non-Terrestrial Networks
Dipartimento
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
CYBERSECURITY
Relatori
relatore Garroppo, Rosario Giuseppe
tutor Joshi, Purva
tutor Joshi, Purva
Parole chiave
- 5g
- anomaly detection
- flexric
- ntn
- o-ran
- openairinterface
- regenerative payload
- security
- xapp
Data inizio appello
15/04/2026
Consultabilità
Non consultabile
Data di rilascio
15/04/2029
Riassunto (Inglese)
Connecting the world through satellites and aerial networks is becoming increasingly important for 5G. These systems face very different security challenges than traditional ground-based networks; ensuring their security has become a critical priority.
In this work, we investigate the impact of Buffer Status Report attacks in 5G NTN environments, where malicious UEs forge a BSR request to illegitimately exhaust PRBs, thereby disrupting service for legitimate users. To mitigate this threat, we propose a security monitoring xApp built on the O-RAN architecture that continuously validates what users claim they will send against what they actually transmit. Since satellite connections experience variable signal quality, we designed the system to dynamically adjust its detection sensitivity based on real-time channel conditions.
We validated our approach using experimental testbed equipment that emulates a satellite network environment. The results demonstrate that our monitoring system reliably identifies attacks across different signal conditions while maintaining an optimal balance between detecting threats and preserving legitimate user traffic. This work underscores the potential of xApps tailored to protect 5G NTN resources without requiring modifications to existing 3GPP protocol standards.
In this work, we investigate the impact of Buffer Status Report attacks in 5G NTN environments, where malicious UEs forge a BSR request to illegitimately exhaust PRBs, thereby disrupting service for legitimate users. To mitigate this threat, we propose a security monitoring xApp built on the O-RAN architecture that continuously validates what users claim they will send against what they actually transmit. Since satellite connections experience variable signal quality, we designed the system to dynamically adjust its detection sensitivity based on real-time channel conditions.
We validated our approach using experimental testbed equipment that emulates a satellite network environment. The results demonstrate that our monitoring system reliably identifies attacks across different signal conditions while maintaining an optimal balance between detecting threats and preserving legitimate user traffic. This work underscores the potential of xApps tailored to protect 5G NTN resources without requiring modifications to existing 3GPP protocol standards.
Riassunto (Italiano)
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