ArXiv TLDR

Democratizing Measurement of Critical Mobile Infrastructure: Security and Privacy in an Increasingly Centralized Communication Ecosystem

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2605.10812

Gabriel K. Gegenhuber

cs.NIcs.CRcs.CY

TLDR

This paper introduces open-source measurement platforms to independently analyze the security and privacy of complex mobile communication ecosystems, including cellular and OTT services.

Key contributions

  • Develops open-source platforms for independent, scalable, and reproducible mobile network measurements.
  • Measures complex mobile ecosystems, including cellular radio, VoWiFi, and OTT messaging services.
  • Overcomes limitations of traditional measurement by not requiring cooperation from network operators.

Why it matters

Mobile communication is critical but its complexity and centralization make it poorly understood. This research provides independent, open-source tools to measure these systems, enhancing security and privacy insights across diverse mobile infrastructure.

Original Abstract

Cellular networks serve as the backbone of global communication, providing critical access to telephony and the Internet, often in regions lacking alternatives. However, the growing complexity of these networks, driven by architectural innovations (e.g., Voice over IP, eSIMs) and commercial dynamics (e.g., roaming, virtual operators, zero-rating), remains poorly understood due to the lack of open, scalable, and geographically diverse measurement tools and independent measurement studies. Moreover, access to mobile networks today is no longer limited to the traditional radio interface. Technologies like Voice-over-WiFi (VoWiFi) offer alternative connectivity paths via third-party Internet infrastructure, extending operator reach into environments with limited cellular coverage. At the same time, over-the-top (OTT) messaging services such as WhatsApp and Signal have become central to modern communication, accounting for a substantial share of global messaging and voice traffic while bypassing traditional operator-controlled channels entirely. This dissertation addresses these challenges by introducing new approaches for independent, scalable, and reproducible measurements of mobile communication systems without requiring cooperation from network or platform operators. We design, implement, and open-source measurement platforms that enable controlled experiments across cellular radio networks, operator-provided services, and OTT messaging applications.

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