Customisation of paillier homomorphic encryption for efficient binary biometric feature vector matching
| dc.contributor.author | Penn, Georg M. | |
| dc.contributor.author | Pötzelsberger, Gerhard | |
| dc.contributor.author | Rohde, Martin | |
| dc.contributor.author | Uhl, Andreas | |
| dc.contributor.editor | Brömme, Arslan | |
| dc.contributor.editor | Busch, Christoph | |
| dc.date.accessioned | 2017-07-26T10:54:16Z | |
| dc.date.available | 2017-07-26T10:54:16Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | Computing the Hamming weight between binary biometric feature vectors in a homomorphic encryption domain can be rather inefficient due to the required bitwise encryption. A biometric matching technique more efficient than the Goldwasser- Micali approach is proposed based on exploiting Paillier's capability of encrypting messages larger than one bit at a time. The efficiency is documented in an iris identification context. | en |
| dc.identifier.isbn | 978-3-88579-624-4 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | BIOSIG 2014 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-230 | |
| dc.title | Customisation of paillier homomorphic encryption for efficient binary biometric feature vector matching | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 144 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 133 | |
| gi.conference.date | 10.-12. September 2014 | |
| gi.conference.location | Darmstadt |
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