集成生物识别密码系统与隐写术的身份验证

Manjari Benhar Peethala, S. Kulkarni
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引用次数: 3

摘要

近年来,由于电子商务的蓬勃发展,互联网上的数字信息安全问题日益突出。传统的个人身份识别方法,如基于知识的方法(如密码、身份证)和基于令牌的方法,已不能满足在线安全传输关键数据的需要。为了克服这个缺点,可以使用生物识别技术来代替密码或pin。虽然,生物识别认证增加了在线安全方面,但它可能容易受到开放网络上的各种攻击。因此,提出了生物特征密码系统,以提高生物特征认证系统的安全性,并创建可撤销的个人表示。另一方面,隐写技术在将加密的生物特征数据隐藏在随机载体之后起着至关重要的作用。该系统在一个由十个指纹样本组成的现成数据库上工作,重点是在将生物指纹数据在线传输给认证者之前,在两个级别(即生物密码系统和隐写)上提供增强的安全性。在验证方,使用汉明距离或欧几里得距离进行身份识别过程。此外,该系统提供了几乎99%的有效TAR, RC4密钥生成算法的时间复杂度低至18 msec。
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Integrating Biometric Cryptosystem with steganography for authentication
The security of digital information over the internet has gained prominence over the years due to the flourishing e-commerce. The traditional ways of personal identification like knowledge-based methods (i.e. passwords, ID cards) and token based methods no longer suffice the need of secure transmission of critical data online. To overcome this shortcoming, Biometrics can be used instead of passwords or pins. Although, Biometric Authentication adds up to the online security aspect but it can be vulnerable to various attacks over the open networks. Hence, Biometric Cryptosystems are proposed to improve the security of biometric authentication systems and to create revocable representations of individuals. On the other hand, Steganography techniques play a vital role in hiding encrypted biometric data behind random carrier. The proposed system is worked on a readymade database of ten fingerprint samples and focusses on providing enhanced security to the biometric fingerprint data in two levels (i.e. Biometric Cryptosystem followed by Steganography) before it is transmitted online to the Authenticator. At the Authenticator side, the identification process is carried out using Hamming distance or Euclidean distance. Furthermore, this system gives an effective TAR of almost 99% with time complexity of RC4 key generation algorithm as low as 18 msec.
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