Toward Applying Online Privacy Patterns Based on the Design Problem: A Systematic Review

Privacy patterns are design solutions to common privacy problems—a way to translate “privacy-by-design” into practical advice for software engineering. This paper aims to provide a collection of privacy patterns proposed by previous work through a systematic review. The review identifies 19 research papers on privacy patterns and they were retrieved for full-text analysis based on the type of the privacy pattern, the context, design problem, and the proposed solution. We provide a classification of the privacy patterns by applying a mapping process to the ISO 29100 privacy Framework and the Privacy Enhancing Techniques. We found that the currently available patterns barely reference to privacy legislation or laws. They mostly cover the security-network perspective but not the user interface perspective. This paper presents the results of a systematic, comprehensive review that aims at aiding future IT designers with a collection of privacy patterns to match design contexts and benefit from the proposed privacy design solutions.