Barni, Mauro ; Failla, Pierluigi ; Kolesnikov, Vladimir ; Lazzeretti, Riccardo ; Paus, Annika ; Sadeghi, Ahmad-Reza ; Schneider, Thomas (2009)
Efficient Privacy-Preserving Classification of ECG Signals.
2009 First IEEE International Workshop on Information Forensics and Security (WIFS). London (06.12.2009-09.12.2009)
doi: 10.1109/WIFS.2009.5386475
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
We describe a privacy-preserving system where a server can classify an electrocardiogram (ECG) signal without learning any information about the ECG signal and the client is prevented from gaining knowledge about the classification algorithm used by the server. The system relies on the concept of linear branching programs (LBP) and a recently proposed cryptographic protocol for secure evaluation of private LBPs. We study the trade-off between signal representation accuracy and system complexity both from practical and theoretical perspective. As a result, the inputs to the system are represented with the minimum number of bits ensuring the same classification accuracy of a plain implementation. We show how the overall system complexity can be strongly reduced by modifying the original ECG classification algorithm. Two alternatives of the underlying cryptographic protocol are implemented and their corresponding complexities are analyzed to show suitability of our system in real-life applications for current and future security levels.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2009 |
| Autor(en): | Barni, Mauro ; Failla, Pierluigi ; Kolesnikov, Vladimir ; Lazzeretti, Riccardo ; Paus, Annika ; Sadeghi, Ahmad-Reza ; Schneider, Thomas |
| Art des Eintrags: | Bibliographie |
| Titel: | Efficient Privacy-Preserving Classification of ECG Signals |
| Sprache: | Englisch |
| Publikationsjahr: | Dezember 2009 |
| Ort: | London |
| Verlag: | IEEE |
| Buchtitel: | International Workshop on Information Forensics and Security (IEEE WIFS'09) |
| Veranstaltungstitel: | 2009 First IEEE International Workshop on Information Forensics and Security (WIFS) |
| Veranstaltungsort: | London |
| Veranstaltungsdatum: | 06.12.2009-09.12.2009 |
| DOI: | 10.1109/WIFS.2009.5386475 |
| URL / URN: | https://encrypto.de/papers/BFKLPSS09.pdf |
| Kurzbeschreibung (Abstract): | We describe a privacy-preserving system where a server can classify an electrocardiogram (ECG) signal without learning any information about the ECG signal and the client is prevented from gaining knowledge about the classification algorithm used by the server. The system relies on the concept of linear branching programs (LBP) and a recently proposed cryptographic protocol for secure evaluation of private LBPs. We study the trade-off between signal representation accuracy and system complexity both from practical and theoretical perspective. As a result, the inputs to the system are represented with the minimum number of bits ensuring the same classification accuracy of a plain implementation. We show how the overall system complexity can be strongly reduced by modifying the original ECG classification algorithm. Two alternatives of the underlying cryptographic protocol are implemented and their corresponding complexities are analyzed to show suitability of our system in real-life applications for current and future security levels. |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik Zentrale Einrichtungen 20 Fachbereich Informatik > EC SPRIDE 20 Fachbereich Informatik > EC SPRIDE > Engineering Cryptographic Protocols (am 01.03.18 aufgegangen in Praktische Kryptographie und Privatheit) |
| Hinterlegungsdatum: | 25 Jun 2012 13:42 |
| Letzte Änderung: | 31 Jul 2024 09:25 |
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