Corona-Warn-App

Explore the behind-the-scenes architecture and security features of Germany's Corona-Warn-App in this 42-minute conference talk. Delve into the invisible yet crucial aspects of data privacy and security, including plausible deniability and risk calculation. Learn how the app's backend is designed to protect user behavior and test results from observation through data traffic. Discover the playbook used to simulate realistic communication between the mobile app and backend, ensuring user protection. Gain insights into the exposure notification framework, app architecture, data flow, and network sniffing techniques. Examine the concepts of transmission risk levels, key embargo, and international interoperability. Discuss new features, community management, exposure windows, and the potential role of machine learning in the app's development.

Intro
Overview
What is CoronaWarnApp
Exposure Notification Framework
App Architecture
Data Flow
Network Sniffing
plausible deniability
transmission risk level
QA
Key embargo
International interoperability
New features
Community management
Exposure window
Machine learning