Application-Oriented Selection of Privacy Enhancing Technologies

TL;DR

This paper proposes an improved, application-oriented classification of privacy-enhancing technologies (PETs) that incorporates practical criteria to aid both experts and non-experts in selecting suitable PETs for privacy-friendly software design.

Contribution

It introduces a new classification framework for PETs that integrates existing and practical criteria, improving guidance for real-world selection.

Findings

Enhanced classification of PETs considering practical factors

Simplifies PET selection process for diverse users

Integrates maturity and impact considerations into PET evaluation

Abstract

To create privacy-friendly software designs, architects need comprehensive knowledge of existing privacy-enhancing technologies (PETs) and their properties. Existing works that systemize PETs, however, are outdated or focus on comparison criteria rather than providing guidance for their practical selection. In this short paper we present an enhanced classification of PETs that is more application-oriented than previous proposals. It integrates existing criteria like the privacy protection goal, and also considers practical criteria like the functional context, a technology's maturity, and its impact on various non-functional requirements. We expect that our classification simplifies the selection of PETs for experts and non-experts.