Distributed, end-to-end verifiable, and privacy-preserving internet voting systems

Autor: Chondros, N. Zhang, B. Zacharias, T. Diamantopoulos, P. Maneas, S. Patsonakis, C. Delis, A. Kiayias, A. Roussopoulos, M.
Jazyk: angličtina
Rok vydání: 2019
Popis: We present the D-DEMOS suite of distributed, privacy-preserving, and end-to-end verifiable e-voting systems; one completely asynchronous and one with minimal timing assumptions but better performance. Their distributed voting operation is human verifiable; a voter can vote over the web, using an unsafe web client stack, without sacrificing her privacy, and get recorded-as-cast assurance. Additionally, a voter can outsource election auditing to third parties, still without sacrificing privacy. We provide a model and security analysis of the systems, implement prototypes of the complete systems, measure their performance experimentally, demonstrate their ability to handle large-scale elections, and demonstrate the performance trade-offs between the two versions. © 2019
Databáze: OpenAIRE