Print Email Facebook Twitter Secure MPC-Sortition Title Secure MPC-Sortition: Consolidating Innovations in Democracy and Cryptography Author Maas, Wouter (TU Delft Electrical Engineering, Mathematics and Computer Science; TU Delft Cyber Security; TU Delft Intelligent Systems) Contributor Erkin, Z. (mentor) Urbano, Julián (graduation committee) Degree granting institution Delft University of Technology Programme Computer Science and Engineering Project CSE3000 Research Project Date 2021-07-02 Abstract Globally, citizens’ assemblies have been gaining momentum as a way to counter dissatisfaction in democracies. Central to the citizens’ assembly is sortition, the process of randomly selecting political representatives given certain demographic criteria. In order to have an assembly representative of the population, personal data is necessary to perform the sortition, making participant privacy a matter of concern when guaranteeing fairness of the process. Secure multi-party computation (MPC)makes it possible to perform calculations on encrypted data from multiple sources without revealing it to the other processing parties or data contributors. This paper outlines two sortition designs that use MPC to guarantee participant privacy during the sortition process. Design 1 allows participants to hide their personal details to the citizens’ assembly organisers. Design 2 makes it possible for involved local government to contribute citizen data to the sortition. Different domain experts were interviewed as a means to survey the needs of the sortition community and to provide feedback on the designs. We found that little research has yet been conducted on the effects of increased privacy on sign-up rates for deliberative events, creating a potential avenue for future research. Subject MPCMultiparty computationSortitioncitizens' assemblydeliberative democracyprivacysecurity To reference this document use: http://resolver.tudelft.nl/uuid:12bfe5b5-f545-4245-9ef3-3c609ed1ed92 Part of collection Student theses Document type bachelor thesis Rights © 2021 Wouter Maas Files PDF Final_Version_Thesis_Wout ... graphy.pdf 974.85 KB Close viewer /islandora/object/uuid:12bfe5b5-f545-4245-9ef3-3c609ed1ed92/datastream/OBJ/view