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Securing iris and fingerprint templates using fuzzy vault and symmetric algorithm

机译:使用模糊保险库和对称算法保护虹膜和指纹模板

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The important aspect of all verification system is authentication and security. This aspect necessitates the development of a method that ensures user security and privacy. The traditional methods such as tokens and passwords provide security to the users. Uncertainly, the attackers can easily compromise these techniques. In recent years, the combination of biometrics and cryptography techniques has been proved as a efficient way to achieve security. The important feature of using biometric template is that it cannot be exploit by an unauthorized user. Most commonly used biometric features are iris, retina, fingerprint, face, palmprint, hand geometry, voice and so on. Fuzzy vault is the concept which uses the combination of biometrics and cryptographic key generation technique. This fuzzy vault act as a additional layer of security. This paper proposes a biometric verification system investigating the combined usage of multimodal biometric features and fuzzy vault scheme. This approach uses of fingerprint and iris in order to provide higher accuracy rate. Experiments were conducted to investigate the performance of the proposed system in ensuring the user security and privacy.
机译:所有验证系统的重要方面是身份验证和安全性。这方面需要开发一种确保用户安全和隐私的方法。诸如令牌和密码之类的传统方法为用户提供了安全性。不确定地,攻击者可以轻易地破坏这些技术。近年来,已证明将生物识别技术和加密技术相结合是实现安全性的有效方法。使用生物识别模板的重要特征是未经授权的用户无法利用它。最常用的生物特征是虹膜,视网膜,指纹,面部,掌纹,手形,声音等。模糊保管库是结合了生物识别技术和加密密钥生成技术的概念。这种模糊的保管库可作为附加的安全层。本文提出了一种生物特征验证系统,以研究多模式生物特征和模糊保险库方案的结合使用。这种方法使用指纹和虹膜以提供更高的准确率。进行了实验以调查所提出系统在确保用户安全和隐私方面的性能。

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