Diagnostic category leakage in helper data schemes for biometric authentication

J.A. Groot, de, B. Skoric, N. Vreede, de, J.P.M.G. Linnartz

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

1 Citaat (Scopus)
1 Downloads (Pure)

Samenvatting

We extend the mathematical model for algae growth as described in Pham Thi (2006) [7] to include new effects. The roles of light, nutrients and acidity of the water body are taken into account. Important properties of the model such as existence and uniqueness of solution, as well as boundedness and positivity are investigated. We also discuss the numerical integration of the resulting system of ordinary differential equations and derive a condition which guarantees positivity of the numerical solution. The behavior of the model is demonstrated by numerical experiments.
Originele taal-2Engels
TitelSECRYPT 2013 - Proceedings of the 10th International Conference on Security and Cryptography, 29-31 July, 2013, Reykjavík, Iceland
RedacteurenP. Samarati
UitgeverijSciTePress Digital Library
Pagina's506-511
ISBN van geprinte versie978-989-8565-73-0
StatusGepubliceerd - 2013
Evenementconference; 10th International Conference on Security and Cryptography; 2013-07-29; 2013-07-31 -
Duur: 29 jul. 201331 jul. 2013

Congres

Congresconference; 10th International Conference on Security and Cryptography; 2013-07-29; 2013-07-31
Periode29/07/1331/07/13
Ander10th International Conference on Security and Cryptography

Vingerafdruk

Duik in de onderzoeksthema's van 'Diagnostic category leakage in helper data schemes for biometric authentication'. Samen vormen ze een unieke vingerafdruk.

Citeer dit