2007 IEEE International Conference on Communications 2007
DOI: 10.1109/icc.2007.226
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Distributed Privacy-Preserving Policy Reconciliation

Abstract: Abstract-Organizations use security policies to regulate how they share and exchange information, e.g., under what conditions data can be exchanged, what protocols are to be used, who is granted access, etc. Agreement on specific policies is achieved though policy reconciliation, where multiple parties, with possibly different policies, exchange their security policies, resolve differences, and reach a consensus. Current solutions for policy reconciliation do not take into account the privacy concerns of recon… Show more

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Cited by 12 publications
(50 citation statements)
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“…In their work, Kissner and Song also define the privacy-preserving composition of these basic operations. Independently, two-party, fair and privacy-preserving reconciliation protocols for ordered sets were introduced in [3], [1]. The work by Neugebauer et al [2] leverages both lines of work introducing multi-party (i.e., for two or more parties) privacy-preserving reconciliation on ordered sets (MPROS) crafting specific multisets.…”
Section: Our Approachmentioning
confidence: 99%
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“…In their work, Kissner and Song also define the privacy-preserving composition of these basic operations. Independently, two-party, fair and privacy-preserving reconciliation protocols for ordered sets were introduced in [3], [1]. The work by Neugebauer et al [2] leverages both lines of work introducing multi-party (i.e., for two or more parties) privacy-preserving reconciliation on ordered sets (MPROS) crafting specific multisets.…”
Section: Our Approachmentioning
confidence: 99%
“…As first described in [3], PROS enables the process of fair and privacy-preserving policy reconciliation (PPPR). Policy reconciliation assumes n parties with their individual, in general different, set of rules which define parameters for collaboration or information exchange with others.…”
Section: Policy Reconciliation and Schedulingmentioning
confidence: 99%
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