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Revista Politécnica

versão On-line ISSN 2477-8990versão impressa ISSN 1390-0129


CAIZA, Julio; LOPEZ, Gabriel  e  GUAMAN, Danny S. Reusable Elements for Experimenting with Methodologies Based on Strategies and Privacy Patterns. Rev Politéc. (Quito) [online]. 2023, vol.51, n.2, pp.113-121. ISSN 2477-8990.

In line with global trends, Latin America has established legislation to provide order in a context where personal data exploitation and the protection of people’s privacy are relevant. Data Protection by Design is one of the mechanisms for achieving such an order. To materialize it, researchers in the domain have focused their efforts on privacy patterns, methodologies based on them, and design strategies. However, state of the art shows that there is a lack of empirical evidence about their application and utility. Likewise, it also highlights the complexity of carrying out experiments to provide such evidence. This study aims to contribute to providing such evidence and make an analysis of methodologies based on privacy patterns and design strategies to propose a set of reusable elements to be used in experiments. We have reviewed the literature, following systematized steps and implementing the snowballing technique to find methodologies based on privacy patterns and design strategies. The results show that the design strategies by Hoepman are the most accepted, and there are three approaches of methodologies making use of them. In these three approaches, we have identified elements that could be reused when planning experiments: strategies, sub-strategies, privacy patterns, PETs, relationships, and pattern systems.

Palavras-chave : privacidad; protección de datos; metodologías; diseño; estrategias; patrones.; privacy; data protection; methodologies; design; strategies; patterns..

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