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Secure Biometrics: Match Biometric Templates in Encrypted Formats - Couverture souple

Gao, Qinghai

 
9783639218282: Secure Biometrics: Match Biometric Templates in Encrypted Formats
Couverture souple
ISBN 10 : 3639218280 ISBN 13 : 9783639218282
Editeur : VDM Verlag Dr. Müller, 2009

Synopsis

Artificial Intronization Method (AIM) was developed to approach the problems of biometrics: number limitation, non?secrecy, non-reproducibility and non-cancelability. AIM is a method of inserting introns into an exon sequence to obtain ciphertext. Three methods are proposed to introduce introns into plaintext. Its main advantage is to prevent error propagation. Its main disadvantage is that security may require a large Message Expansion Rate (MER). Therefore, three methods are proposed to control MER. With AIM the aforementioned four problems can be solved. AIM is tested and seems to be a promising mechanism for protecting fuzzy biometric data because only intronized template will be stored. AIM can also be used as a preprocessing step for other cryptographic algorithms to enhance security. AIM is vulnerable to Known-plaintext Attack due to the intentional suppression of the diffusion property in favor of zero-error propagation. Thus, it has its limitation as a stand-alone cipher.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Artificial Intronization Method (AIM) was developed to approach the problems of biometrics: number limitation, non?secrecy, non-reproducibility and non-cancelability. AIM is a method of inserting introns into an exon sequence to obtain ciphertext. Three methods are proposed to introduce introns into plaintext. Its main advantage is to prevent error propagation. Its main disadvantage is that security may require a large Message Expansion Rate (MER). Therefore, three methods are proposed to control MER. With AIM the aforementioned four problems can be solved. AIM is tested and seems to be a promising mechanism for protecting fuzzy biometric data because only intronized template will be stored. AIM can also be used as a preprocessing step for other cryptographic algorithms to enhance security. AIM is vulnerable to Known-plaintext Attack due to the intentional suppression of the diffusion property in favor of zero-error propagation. Thus, it has its limitation as a stand-alone cipher.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2009
Langue
anglais
ISBN 10 
3639218280
ISBN 13 
9783639218282
Reliure
Broché
Nombre de pages
76
Coordonnées du fabricant
non disponible
Personne responsable
non disponible