Morten Rotvold Solberg

dblp:277/3432 · DBLP profile ↗
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3ranked-venue papers
0as first author
3since 2021 · last 2023
—ORCID · none

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Security and privacy · 3 · 3 since 2021
YearPublicationVenuePosition
2023 Machine-Checked Proofs of Accountability: How to sElect Who is to Blame
Constantin Catalin Dragan, François Dupressoir, Kristian Gjøsteen, Thomas Haines, Peter B. Rønne, Morten Rotvold Solberg
ESORICS (3)6
2023 Machine-checked proofs of privacy against malicious boards for Selene & Co
abstract
Privacy is a notoriously difficult property to achieve in complicated systems and especially in electronic voting schemes. Moreover, electronic voting schemes is a class of systems that require very high assurance. The literature contains a number of ballot privacy definitions along with security proofs for common systems. Some machine-checked security proofs have also appeared. We define a new ballot privacy notion that captures a larger class of voting schemes. This notion improves on the state of the art by taking into account that verification in many schemes will happen or must happen after the tally has been published, not before as in previous definitions. As a case study we give a machine-checked proof of privacy for Selene, which is a remote electronic voting scheme which offers an attractive mix of security properties and usability. Prior to our work, the computational privacy of Selene has never been formally verified. Finally, we also prove that MiniVoting and Belenios satisfies our definition.
Constantin Catalin Dragan, François Dupressoir, Ehsan Estaji, Kristian Gjøsteen, Thomas Haines, Peter Y. A. Ryan, Peter B. Rønne, Morten Rotvold Solberg
J. Comput. Secur.8
2022 Machine-Checked Proofs of Privacy Against Malicious Boards for Selene & Co
abstract
Privacy is a notoriously difficult property to achieve in complicated systems and especially in electronic voting schemes. Moreover, electronic voting schemes is a class of systems that require very high assurance. The literature contains a number of ballot privacy definitions along with security proofs for common systems. Some machine-checked security proofs have also appeared. We define a new ballot privacy notion that captures a larger class of voting schemes. This notion improves on the state of the art by taking into account that verification in many schemes will happen or must happen after the tally has been published, not before as in previous definitions. As a case study we give a machine-checked proof of privacy for Selene, which is a remote electronic voting scheme which offers an attractive mix of security properties and usability. Prior to our work, the computational privacy of Selene has never been formally verified. Finally, we also prove that MiniVoting and Belenios satisfies our definition.
Constantin Catalin Dragan, François Dupressoir, Ehsan Estaji, Kristian Gjøsteen, Thomas Haines, Peter Y. A. Ryan, Peter B. Rønne, Morten Rotvold Solberg
CSF8