SIED, a Data Privacy Engineering Framework
This provides a structured approach for data privacy practitioners, but it is incremental as it builds on existing techniques without introducing new algorithms.
The study tackled the lack of comprehensive frameworks for data privacy engineering by proposing SIED, a conceptual framework that holistically addresses specification, implementation, evaluation, and dissemination of privatized datasets.
While a number of data privacy techniques have been proposed in the recent years, a few frameworks have been suggested for the implementation of the data privacy process. Most of the proposed approaches are tailored towards implementing a specific data privacy algorithm but not the overall data privacy engineering and design process. Therefore, as a contribution, this study proposes SIED (Specification, Implementation, Evaluation, and Dissemination), a conceptual framework that takes a holistic approach to the data privacy engineering procedure by looking at the specifications, implementation, evaluation, and finally, dissemination of the privatized data sets.