Lukas Waidelich and Thomas Schuster
Data privacy is a crucial yet complex aspect of information systems. Privacy patterns translate legal and regulatory requirements into technological solutions that uphold privacy standards. Despite existing research, significant fragmentation and the need for up-to-date studies persist. This research addresses this gap by analyzing 73 academic papers and classifying 580 privacy patterns by type, design strategy, and design tactic—a perspective not fully explored previously. The study aims to provide a comprehensive view of the progression in privacy pattern research and identify areas for further exploration, addressing contemporary challenges and outlining potential solutions for future research.











































