@inproceedings{NeugebauerBrutschyMeyeretal.2014,
  author    = {Neugebauer, Georg and Brutschy, Lucas and Meyer, Ulrike and Wetzel, Susanne},
  title     = {Privacy-preserving multi-party reconciliation secure in the malicious model},
  series = {DPM 2013, SETOP 2013: Data Privacy Management and Autonomous Spontaneous Security},
  booktitle = {DPM 2013, SETOP 2013: Data Privacy Management and Autonomous Spontaneous Security},
  editor    = {Garcia-Alfaro, Joaquin and Lioudakis, Georgios and Cuppens-Boulahia, Nora and Foley, Simon and Fitzgerald, William M.},
  publisher = {Springer},
  address   = {Berlin},
  isbn      = {978-3-642-54567-2 (Print)},
  doi       = {10.1007/978-3-642-54568-9_12},
  pages     = {178 -- 193},
  year      = {2014},
  abstract  = {The problem of fair and privacy-preserving ordered set reconciliation arises in a variety of applications like auctions, e-voting, and appointment reconciliation. While several multi-party protocols have been proposed that solve this problem in the semi-honest model, there are no multi-party protocols that are secure in the malicious model so far. In this paper, we close this gap. Our newly proposed protocols are shown to be secure in the malicious model based on a variety of novel non-interactive zero-knowledge-proofs. We describe the implementation of our protocols and evaluate their performance in comparison to protocols solving the problem in the semi-honest case.},
  language  = {en}
}