Publikationen

Autor	Kiss, Ágnes; Schick, Oliver; Schneider, Thomas
Datum	2019
Art	Conference Proceedings
Abstrakt	Event scheduling applications such as Doodle allow for very limited privacy protection. Even if the participants are anonymous, their inputs are revealed to the poll administrator and the application server. There exist privacy-enhanced scheduling services (e.g., Kellermann and Böhme, CSE’09), but they require heavy computation and communication on the client’s side, leak information to the participants or poll administrator, and allow only for a restricted scheduling functionality. In this work, we present a privacy-preserving scheduling system based on secure two-party computation, that allows to schedule meetings between a large number of participants efficiently, without requiring any participant to reveal its availability pattern or other sensitive information to any other participant, server, or even the poll administrator. The protocol allows for various functional extensions and requires the client to perform very little work when securely submitting its inputs. Our protocol is secure against semi-honest non-colluding servers and malicious participants.
Konferenz	16th International Joint Conference on e-Business and Telecommunications
ISBN	978-989-758-378-0
ISSN	2184-3236
In	Proceedings of the 16th International Joint Conference on e-Business and Telecommunications SECRYPT - Volume 1, p.456-463
Publisher	SciTePress
Url	https://tubiblio.ulb.tu-darmstadt.de/id/eprint/113694

Web Application for Privacy-Preserving Scheduling using Secure Computation