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A Privacy-Preserving Platform for User-Centric Quantitative Benchmarking
Herrmann, Dominik, Scheuer, Florian, Feustel, Philipp, Nowey, Thomas und Federrath, Hannes (2009) A Privacy-Preserving Platform for User-Centric Quantitative Benchmarking. In: 6th International Conference on Trust, Privacy and Security in Digital Businesses (TrustBus 2009), 3.- 4. September 2009, Linz.Veröffentlichungsdatum dieses Volltextes: 12 Mrz 2010 14:39
Konferenz- oder Workshop-Beitrag
DOI zum Zitieren dieses Dokuments: 10.5283/epub.13493
Zusammenfassung
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 ...
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.
Beteiligte Einrichtungen
Details
| Dokumentenart | Konferenz- oder Workshop-Beitrag (Vortrag) |
| Datum | 3 September 2009 |
| Institutionen | Wirtschaftswissenschaften > Institut für Wirtschaftsinformatik > Entpflichtete oder im Ruhestand befindliche Professoren > Lehrstuhl für Wirtschaftsinformatik IV - Management der Informationssicherheit (Prof. Dr.-Ing. Hannes Federrath) |
| Stichwörter / Keywords | Secure Multi-Party Computation, Privacy Enhancing Technologies, IT Security |
| Dewey-Dezimal-Klassifikation | 000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik |
| Status | Unbekannt / Keine Angabe |
| Begutachtet | Unbekannt / Keine Angabe |
| An der Universität Regensburg entstanden | Ja |
| URN der UB Regensburg | urn:nbn:de:bvb:355-epub-134933 |
| Dokumenten-ID | 13493 |
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