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Fair and Privacy-Preserving Multi-party Protocols for Reconciling Ordered Input Sets

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Information Security (ISC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 6531))

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Abstract

In this paper, we introduce the first protocols for multi-party, privacy-preserving, fair reconciliation of ordered sets. Our contributions are twofold. First, we show that it is possible to extend the round-based construction for fair, two-party privacy-preserving reconciliation of ordered sets to multiple parties using a multi-party privacy-preserving set intersection protocol. Second, we propose new constructions for fair, multi-party, privacy-preserving reconciliation of ordered sets based on multiset operations. We prove that all our protocols are privacy-preserving in the semi-honest model. We furthermore provide a detailed performance analysis of our new protocols and show that the constructions based on multisets generally outperform the round-based approach.

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Neugebauer, G., Meyer, U., Wetzel, S. (2011). Fair and Privacy-Preserving Multi-party Protocols for Reconciling Ordered Input Sets. In: Burmester, M., Tsudik, G., Magliveras, S., Ilić, I. (eds) Information Security. ISC 2010. Lecture Notes in Computer Science, vol 6531. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18178-8_12

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  • DOI: https://doi.org/10.1007/978-3-642-18178-8_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-18177-1

  • Online ISBN: 978-3-642-18178-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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