Poster: Patient Community -- A Test Bed For Privacy Threat Analysis

TL;DR

This paper introduces a comprehensive test bed based on a social network for patients, designed to evaluate and compare privacy analysis tools using an extensive list of privacy weaknesses from the LINDDUN methodology.

Contribution

It presents a novel benchmark application that models a patient social network with integrated privacy threats, facilitating standardized testing of privacy analysis tools.

Findings

Implemented a social network architecture for patients.

Extended the architecture with additional privacy threats.

Provides a platform for independent evaluation of privacy tools.

Abstract

Research and development of privacy analysis tools currently suffers from a lack of test beds for evaluation and comparison of such tools. In this work, we propose a benchmark application that implements an extensive list of privacy weaknesses based on the LINDDUN methodology. It represents a social network for patients whose architecture has first been described in an example analysis conducted by one of the LINDDUN authors. We have implemented this architecture and extended it with more privacy threats to build a test bed that enables comprehensive and independent testing of analysis tools.