KIT | KIT-Bibliothek | Impressum | Datenschutz

Individual Verifiability with Return Codes: Manipulation Detection Efficacy

Thürwächter, Paul Tim 1; Volkamer, Melanie 1; Kulyk, Oksana
1 Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB), Karlsruher Institut für Technologie (KIT)

Abstract:

Researchers advocate for end-to-end verifiable voting schemes to maximise election integrity. At E-Vote-ID 2021, Kulyk et al. proposed to extend the verifiable scheme used in Switzerland (called original scheme) by voting codes to improve it with respect to vote secrecy. While the authors evaluated the general usability of their proposal, they did not evaluate its efficacy with respect to manipulation detection by voters. To close this gap, we conducted a corresponding user study. Furthermore, we study the effect of a video intervention (describing the vote casting process including individual verifiabilty steps) on the manipulation detection rate. We found that 65% of those receiving the video detected the manipulation and informed the support. If we only consider those who stated they (partially) watched the video the rate is 75%. The detection rate for those not having provided the video is 63%. While these rates are significantly higher than the 10% detection rate reported in related work for the original system, we discuss how to further increase the detection rate.


Verlagsausgabe §
DOI: 10.5445/IR/1000151299
Veröffentlicht am 12.10.2022
Originalveröffentlichung
DOI: 10.1007/978-3-031-15911-4_9
Scopus
Zitationen: 1
Dimensions
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Kompetenzzentrum für angewandte Sicherheitstechnologie (KASTEL)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2022
Sprache Englisch
Identifikator ISBN: 978-3-031-15911-4
ISSN: 0302-9743, 1611-3349
KITopen-ID: 1000151299
HGF-Programm 46.23.01 (POF IV, LK 01) Methods for Engineering Secure Systems
Erschienen in Electronic Voting – 7th International Joint Conference, E-Vote-ID 2022, Bregenz, Austria, October 4–7, 2022, Proceedings. Ed.: R. Krimmer
Veranstaltung 7th International Joint Conference on Electronic Voting (E-Vote-ID 2022), Bregenz, Österreich, 04.10.2022 – 07.10.2022
Verlag Springer International Publishing
Seiten 139–156
Serie Lecture Notes in Computer Science (LNCS) ; 13553
Vorab online veröffentlicht am 03.09.2022
Schlagwörter End-to-end verifiability; Usability; Individual verifiability; Deceptive study; Manipulation detection rate
Nachgewiesen in Dimensions
Scopus
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page