Privacy Analysis of COVID-19 Contact Tracing Apps in the EU

  title={Privacy Analysis of COVID-19 Contact Tracing Apps in the EU},
  author={Samuel Wairimu and Nurul Momen},
2 Citations

Checking Contact Tracing App Implementations with Bespoke Static Analysis

In the wake of the COVID-19 pandemic, contact tracing apps have been developed based on digital contact tracing frameworks. These allow developers to build privacy-conscious apps that detect whether

COVID-19 and techno-solutionism: responsibilization without contextualization?

We are delighted to act as the Special Section Editors for a subsection of the papers in this Special Issue on public health and COVID-19. The three papers in question emanate from the same large,



A Multilateral Privacy Impact Analysis Method for Android Apps

This paper presents a multi-source method for privacy analysis and data extraction transparency of Android apps, and describes how it generates several data sets derived from privacy policies, app manifestos, user reviews and actual app profiling at run time.

Exploring Permission-Induced Risk in Android Applications for Malicious Application Detection

This paper thoroughly analyzes the permission-induced risk in Android apps on three levels in a systematic manner, and evaluates the usefulness of risky permissions for malapp detection with support vector machine, decision trees, as well as random forest.

The protection of information in computer systems

This tutorial paper explores the mechanics of protecting computer-stored information from unauthorized use or modification by examining in depth the principles of modern protection architectures and the relation between capability systems and access control list systems.