Project A6

Understandable Privacy Specification

Principal Investigators

Antonio Krüger

D3 4 1.15
66123 Saarbrücken

+49 681 85775 8075
+49 681 85775 5007
krueger(Replace this parenthesis with the @ sign)dfki.de

Senior Researchers

Markus Löchtefeld

InfoLab21
LA1 4WA Lancaster


Markus.Loechtefeld(Replace this parenthesis with the @ sign)dfki.de

PhD Students

Frederic Raber

D3 4 1.73
Saarbrücken

+49 681 85775 5008
frederic.raber(Replace this parenthesis with the @ sign)dfki.de

Project Summary

It is well known that, in current digital user habitats, users experience severe difficulties in (a) understanding and (b) specifying their privacy settings. Deep privacy threat analysis methods such as proposed above provide the essential building block for (a), but how to understandably communicate their results to laymen users? And how to (b) enable users to understandably configure and fine-tune their settings? This project’s core idea is to tackle both through the use of simulated examples, hypothetical privacy-critical events: concrete ways (a particular kind of recipient obtaining a particular kind of information) in which the user’s privacy may become compromised, critically according to an explicit user model. Threat simulation methods are used to generate such events, and a feedback loop through a series of simulated events serves to elaborate the user’s privacy policy, quickly and without incurring privacy loss in the real world. In-situ interactions based on wearable computing technology allow for convenient feedback from real-world events, fine-tuning the user model and policies. In the long-term, this general idea could in principle apply to many kinds of privacy-relevant scenarios, threats, and simulation methods. Within the scope of the first funding period, we will focus on (explicit i.e. user-controlled) location sharing in online social networks, simulating information spreading.

Role Within the Collaborative Research Center

cdA6

Open Positions

This project has no open positions.