PrivacyDates: A Framework for More Privacy-Preserving Timestamp Data Types

05/27/2022
by   Christian Burkert, et al.
0

Case studies of application software data models indicate that timestamps are excessively used in connection with user activity. This contradicts the principle of data minimisation which demands a limitation to data necessary for a given purpose. Prior work has also identified common purposes of timestamps that can be realised by more privacy-preserving alternatives like counters and dates with purpose-oriented precision. In this paper, we follow up by demonstrating the real-world applicability of those alternatives. We design and implement three timestamp alternatives for the popular web development framework Django and evaluate their practicality by replacing conventional timestamps in the project management application Taiga. We find that our alternatives could be adopted without impairing the functionality of Taiga.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
09/20/2018

PriPeARL: A Framework for Privacy-Preserving Analytics and Reporting at LinkedIn

Preserving privacy of users is a key requirement of web-scale analytics ...
research
06/09/2022

Developing synthetic individual-level population datasets: The case of contextualizing maps of privacy-preserving census data

The purpose of this paper is to describe the development of a synthetic ...
research
06/08/2020

An operational architecture for privacy-by-design in public service applications

Governments around the world are trying to build large data registries f...
research
10/28/2021

Messaging with Purpose Limitation – Privacy-Compliant Publish-Subscribe Systems

Purpose limitation is an important privacy principle to ensure that pers...
research
08/13/2020

Zecale: Reconciling Privacy and Scalability on Ethereum

In this paper, we present Zecale, a general purpose SNARK proof aggregat...
research
11/03/2022

Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework

This paper presents LE3D; a novel data drift detection framework for pre...

Please sign up or login with your details

Forgot password? Click here to reset