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A Privacy-Preserving Platform for User-Centric Quantitative Benchmarking

By Dominik Herrmann, Florian Scheuer, Philipp Feustel, Thomas Nowey and Hannes Federrath

Abstract

We propose a centralised platform for quantitative benchmarking of key performance indicators (KPI) among mutually distrustful organisations. Our platform offers users the opportunity to request an ad-hoc benchmarking for a specific KPI within a peer group of their choice. Architecture and protocol are designed to provide anonymity to its users and to hide the sensitive KPI values from other clients and the central server. To this end, we integrate user-centric peer group formation, exchangeable secure multi-party computation protocols, short-lived ephemeral key pairs as pseudonyms, and attribute certificates. We show by empirical evaluation of a prototype that the performance is acceptable for reasonably sized peer groups

Topics: 004 Informatik, ddc:004
Publisher: 'Springer Science and Business Media LLC'
Year: 2009
DOI identifier: 10.1007/978-3-642-03748-1_4
OAI identifier: oai:epub.uni-regensburg.de:13490

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