Algoritmo papílio como método de proteção de templates para aumentar a segurança em sistemas de identificação biométricos
There are authentication models which use passwords, keys, personal identifiers (cards, tags etc) to authenticate a particular user in the authentication/identification process. However, there are other systems that can use biometric data, such as signature, fingerprint, voice, etc., to authentic...
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| Formato: | doctoralThesis |
| Idioma: | por |
| Publicado em: |
Universidade Federal do Rio Grande do Norte
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| Endereço do item: | https://repositorio.ufrn.br/jspui/handle/123456789/19892 |
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| Resumo: | There are authentication models which use passwords, keys, personal identifiers (cards,
tags etc) to authenticate a particular user in the authentication/identification process.
However, there are other systems that can use biometric data, such as signature,
fingerprint, voice, etc., to authenticate an individual in a system. In another hand, the
storage of biometric can bring some risks such as consistency and protection problems
for these data. According to this problem, it is necessary to protect these biometric
databases to ensure the integrity and reliability of the system. In this case, there are
models for security/authentication biometric identification, for example, models and Fuzzy
Vault and Fuzzy Commitment systems. Currently, these models are mostly used in the
cases for protection of biometric data, but they have fragile elements in the protection
process. Therefore, increasing the level of security of these methods through changes in the
structure, or even by inserting new layers of protection is one of the goals of this thesis. In
other words, this work proposes the simultaneous use of encryption (Encryption Algorithm
Papilio) with protection models templates (Fuzzy Vault and Fuzzy Commitment) in
identification systems based on biometric. The objective of this work is to improve two
aspects in Biometric systems: safety and accuracy. Furthermore, it is necessary to maintain
a reasonable level of efficiency of this data through the use of more elaborate classification
structures, known as committees. Therefore, we intend to propose a model of a safer
biometric identification systems for identification. |
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