•A generic and novel computational framework is introduced for measuring and optimizing privacy-utility trade-offs.
•The framework applicability is validated analytically and empirically using real-world data from a Smart Grid pilot project.
•Privacy-utility trade-offs are optimized under informational self determination.
Optimization of privacy-utility trade-offs under informational self-determination
Thomas Asikis, Evangelos Pournaras
Future Generation Computer Systems