CellSecInspector: Safeguarding Cellular Networks via Automated Security Analysis on Specifications

The complexity, interdependence, and rapid evolution of 3GPP specifications present fundamental challenges for ensuring the security of modern cellular networks. Manual reviews and existing automated approaches, which often depend on rule-based parsing or small sets of manually crafted security requirements, fail to capture deep semantic dependencies, cross-sentence/clause relationships, and evolving specification behaviors. In this work, we present CellSecInspector, an automated framework for security analysis of 3GPP specifications. CellSecInspector extracts structured state-condition-action (SCA) representations, models mobile network procedures with comprehensive function chains, systematically validates them against 9 foundational security properties under 4 adversarial scenarios, and automatically generates test cases. This end-to-end pipeline enables the automated discovery of vulnerabilities without relying on manually predefined security requirements or rules. Applying CellSecInspector to the well-studied 5G and 4G NAS and RRC specifications, it discovers 43 vulnerabilities, 8 of which are previously unreported. Our findings show that CellSecInspector is a scalable, adaptive, and effective solution to assess 3GPP specifications for safeguarding operational and next-generation cellular networks.

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Publication Details

Journal
Maryland Shared Open Access Repository (USMAI Consortium)
Published
2025-12-31
DOI
https://doi.org/10.13016/m23ktf-cmdi
Primary Topic
Advanced Malware Detection Techniques
Type
article
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article

CellSecInspector: Safeguarding Cellular Networks via Automated Security Analysis on Specifications

Guan-Hua Tu, Munshi Saifuzzaman, Tian Xie, Xingyi Zhao et al.
Maryland Shared Open Access Repository (USMAI Consortium)
Advanced Malware Detection Techniques
article

CellSecInspector: Safeguarding Cellular Networks via Automated Security Analysis on Specifications

Guan-Hua Tu, Munshi Saifuzzaman, Tian Xie, Xingyi Zhao, Yiwen Hu, Shuhan Yuan, Wen Li, Ke Xie
article en

Abstract

The complexity, interdependence, and rapid evolution of 3GPP specifications present fundamental challenges for ensuring the security of modern cellular networks. Manual reviews and existing automated approaches, which often depend on rule-based parsing or small sets of manually crafted security requirements, fail to capture deep semantic dependencies, cross-sentence/clause relationships, and evolving specification behaviors. In this work, we present CellSecInspector, an automated framework for security analysis of 3GPP specifications. CellSecInspector extracts structured state-condition-action (SCA) representations, models mobile network procedures with comprehensive function chains, systematically validates them against 9 foundational security properties under 4 adversarial scenarios, and automatically generates test cases. This end-to-end pipeline enables the automated discovery of vulnerabilities without relying on manually predefined security requirements or rules. Applying CellSecInspector to the well-studied 5G and 4G NAS and RRC specifications, it discovers 43 vulnerabilities, 8 of which are previously unreported. Our findings show that CellSecInspector is a scalable, adaptive, and effective solution to assess 3GPP specifications for safeguarding operational and next-generation cellular networks.

Maryland Shared Open Access Repository (USMAI Consortium)
Peace, Justice and strong institutions
Openalex Percentile: Top 29%
Advanced Malware Detection Techniques
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CellSecInspector: Safeguarding Cellular Networks via Automated Security Analysis on Specifications — Guan-Hua Tu, Munshi Saifuzzaman, et al. · Maryland Shared Open Access Repository (USMAI Consortium) (2025) | TGRS Research Map | TGRS