Integrity Under Siege: A Rogue gNodeB's Manipulation of 5G Network Slice Allocation

Fuente: arXiv
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Autori principali: Xu, Jiali, Loscri, Valeria, Rouvoy, Romain
Natura: Preprint
Pubblicazione: 2025
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author Xu, Jiali
Loscri, Valeria
Rouvoy, Romain
author_facet Xu, Jiali
Loscri, Valeria
Rouvoy, Romain
contents The advent of 5G networks, with network slicing as a cornerstone technology, promises customized, high-performance services, but also introduces novel attack surfaces beyond traditional threats. This article investigates a critical and underexplored integrity vulnerability: the manipulation of network slice allocation to compromise Quality of Service (QoS) and resource integrity. We introduce a threat model, grounded in a risk analysis of permissible yet insecure configurations like null-ciphering (5G-EA0), demonstrating how a rogue gNodeB acting as a Man-in-the-Middle can exploit protocol weaknesses to forge slice requests and hijack a User Equipment's (UE) connection. Through a comprehensive experimental evaluation on a 5G testbed, we demonstrate the attack's versatile and severe impacts. Our findings show this integrity breach can manifest as obvious QoS degradation, such as a 95% bandwidth reduction and 150% latency increase when forcing UE to a suboptimal slice, or as stealthy slice manipulation that is indistinguishable from benign network operation and generates no core network errors. Furthermore, we validate a systemic resource contamination attack where redirecting a crowd of UE orchestrates a Denial-of-Service, causing packet loss to exceed 60% and inducing measurable CPU saturation (~80%) on core network User Plane Functions (UPFs). Based on these results, we discuss the profound implications for Service Level Agreements (SLAs) and critical infrastructure. We propose concrete, cross-layer mitigation strategies for network operators as future work, underscoring the urgent need to secure the integrity of dynamic resource management in 5G networks.
format Preprint
id arxiv_https___arxiv_org_abs_2511_03312
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Integrity Under Siege: A Rogue gNodeB's Manipulation of 5G Network Slice Allocation
Xu, Jiali
Loscri, Valeria
Rouvoy, Romain
Networking and Internet Architecture
Software Engineering
The advent of 5G networks, with network slicing as a cornerstone technology, promises customized, high-performance services, but also introduces novel attack surfaces beyond traditional threats. This article investigates a critical and underexplored integrity vulnerability: the manipulation of network slice allocation to compromise Quality of Service (QoS) and resource integrity. We introduce a threat model, grounded in a risk analysis of permissible yet insecure configurations like null-ciphering (5G-EA0), demonstrating how a rogue gNodeB acting as a Man-in-the-Middle can exploit protocol weaknesses to forge slice requests and hijack a User Equipment's (UE) connection. Through a comprehensive experimental evaluation on a 5G testbed, we demonstrate the attack's versatile and severe impacts. Our findings show this integrity breach can manifest as obvious QoS degradation, such as a 95% bandwidth reduction and 150% latency increase when forcing UE to a suboptimal slice, or as stealthy slice manipulation that is indistinguishable from benign network operation and generates no core network errors. Furthermore, we validate a systemic resource contamination attack where redirecting a crowd of UE orchestrates a Denial-of-Service, causing packet loss to exceed 60% and inducing measurable CPU saturation (~80%) on core network User Plane Functions (UPFs). Based on these results, we discuss the profound implications for Service Level Agreements (SLAs) and critical infrastructure. We propose concrete, cross-layer mitigation strategies for network operators as future work, underscoring the urgent need to secure the integrity of dynamic resource management in 5G networks.
title Integrity Under Siege: A Rogue gNodeB's Manipulation of 5G Network Slice Allocation
topic Networking and Internet Architecture
Software Engineering
url https://arxiv.org/abs/2511.03312