Toward a Robust Ingress for Open-Sourced 5G Core Network

The security of 5G networks hinges on the robustness and reliability of their software implementations from the core network infrastructure to end-user devices. Fortifying these networks against emerging threats and vulnerabilities requires rigorous testing. This article proposes a systematic approach for identifying flaws in 5G core network implementations. Focusing on the attack surfaces at 5G core network entry points, we identified flaws in handling the next-generation application protocol (NGAP) and nonaccess stratum (NAS) protocol with a fuzzer-in-the-middle (FitM) architecture that systematically evaluates multistage 5G core network protocol implementation; this architecture was applied to well-known open-source 5G core network implementations for evaluation. Specifically, the FitM architecture fuzzes valid user and base-station NAS and NGAP packets, which are then transmitted to the core network. In addition to recognizing 20 known implementation flaws, the FitM approach successfully recognized eight unknown flaws in various network functions in the core network implementations. The findings were reported to the developer community, and the issues have been fixed in most implementations. The proposed approach can be seamlessly integrated into the software development life cycle. The approach is both practical and extensible and can help communities develop more reliable core networks.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Reliability
Published
2025-09-17
DOI
https://doi.org/10.1109/tr.2025.3607106
Citations
1
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Toward a Robust Ingress for Open-Sourced 5G Core Network

Chenxi Ouyang, I‐Wei Chen, Kai‐Jung Chen, Jin-Wei Hsu et al.
1 citations
IEEE Transactions on Reliability
Advanced MIMO Systems Optimization
0.73
article

Toward a Robust Ingress for Open-Sourced 5G Core Network

Chenxi Ouyang, I‐Wei Chen, Kai‐Jung Chen, Jin-Wei Hsu, Chun‐Ying Huang, Xinye Jiang
article en
1 citations

Abstract

The security of 5G networks hinges on the robustness and reliability of their software implementations from the core network infrastructure to end-user devices. Fortifying these networks against emerging threats and vulnerabilities requires rigorous testing. This article proposes a systematic approach for identifying flaws in 5G core network implementations. Focusing on the attack surfaces at 5G core network entry points, we identified flaws in handling the next-generation application protocol (NGAP) and nonaccess stratum (NAS) protocol with a fuzzer-in-the-middle (FitM) architecture that systematically evaluates multistage 5G core network protocol implementation; this architecture was applied to well-known open-source 5G core network implementations for evaluation. Specifically, the FitM architecture fuzzes valid user and base-station NAS and NGAP packets, which are then transmitted to the core network. In addition to recognizing 20 known implementation flaws, the FitM approach successfully recognized eight unknown flaws in various network functions in the core network implementations. The findings were reported to the developer community, and the issues have been fixed in most implementations. The proposed approach can be seamlessly integrated into the software development life cycle. The approach is both practical and extensible and can help communities develop more reliable core networks.

IEEE Transactions on ReliabilityVol. 74(4)
National Yang Ming Chiao Tung University (TW)
Openalex Percentile: Top 23%
Advanced MIMO Systems Optimization
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Toward a Robust Ingress for Open-Sourced 5G Core Network — Chenxi Ouyang, I‐Wei Chen, et al. · IEEE Transactions on Reliability (2025) | TGRS Research Map | TGRS