Welcome to the Internet Analytics Group website!

The Internet Analytics Group advances a bold vision: to make complex digital ecosystems secure, transparent, and privacy-resilient for every user. Our research lies at the intersection of cybersecurity, privacy, and large-scale Internet measurement, uncovering structural weaknesses in platforms, protocols, and software architectures that enable data abuse and compromise user rights.

We analyze interactions across mobile apps, IoT devices, browsers, and online services to expose hidden tracking mechanisms and systemic security flaws in permission models and sandboxing frameworks. Our work has revealed previously unknown cross-app and cross-device tracking practices and directly influenced new permissions and security patches in Android, IoT devices, and major web browsers. Notably, we uncovered the abuse of localhost sockets to bridge web and mobile tracking in collaboration with Radboud University.

We focus on real-world security and privacy problems affecting hundreds of millions of users, maximizing the scientific and societal impact of our research efforts. Our work has been praised by the academic community, industry actors and regulatory bodies through multiple research awards. Beyond the research community, our findings have been widely covered by international media outlets like The Washington Post or The Guardian, and informed platform security discussions, contributed to standardization and regulatory debates under frameworks such as the GDPR and DSA.

A list of our publications is available here.

Team Members

Scientific Direction

Dr. Narseo Vallina Rodríguez
Dr. Narseo VALLINA-RODRÍGUEZ
Team leader / Research Associate Professor (Ramon y Cajal Fellow)
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Research

aniketh-girish
Dr. Aniketh GIRISH
Post-Doc Researcher
Vinuri BANDARA
PhD Student

Project Administration

Beatriz Martín
Beatriz MARTIN
Project Administrator
CYBERACTIONING
Training Cybersecurity Skills through Advanced Higher Education Joint Programmes

Financed by: European Commission DIGITAL-2022-SKILLS-03

PARASITE
Methods and techniques to characterize supply chain threats in software

Financed by: Ministry of Science and Innovation

Previous projects

TRUST aWARE

Enhancing Digital Security, Privacy and TRUST in softWARE

ODIO

The Open Digital Identity Observatory

SoftAuditor

Comprehensive data-driven software analysis for the 21st century

Consumer Reports - Digital Lab Fellowship

Understanding the Android Open Source Project Supply Chain

SMOOTH

GDPR Compliance Cloud Platform for Micro Enterprises

AppCensus

Analysis of Third Party SDKs and Endpoints for AppCensus