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A novel biometric-based password authentication scheme for client-server environment using ECC and fuzzy extractor

机译:基于ECC和模糊提取器的新型基于生物特征的客户端-服务器环境密码认证方案

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摘要

In this paper, we devise a new and efficient biometric-based password authentication scheme (BIO-PWA) for the client-server environment. Our scheme uses the elliptic curve cryptography (ECC) along with the fuzzy extractor. Through the rigorous security analysis, we show that our scheme is secure against various known attacks. We further show that our scheme is secure in the generic group model through the formal security analysis. In addition, the formal security verification of our scheme using the widely-accepted automated validation of internet security protocols and applications (AVISPA) tool is performed against active and passive adversaries and the simulation results clearly demonstrate that our scheme is secure against active and passive attacks, including the replay and man-in-the-middle attacks. Finally, we show that our scheme is also efficient in computation against the existing related ECC-based authentication schemes for the client-server environment.
机译:在本文中,我们为客户-服务器环境设计了一种新的高效的基于生物特征的密码认证方案(BIO-PWA)。我们的方案使用椭圆曲线加密(ECC)以及模糊提取器。通过严格的安全性分析,我们证明了我们的方案对于各种已知的攻击都是安全的。通过形式安全分析,我们进一步证明了我们的方案在通用组模型中是安全的。此外,针对主动和被动对手,使用广为接受的互联网安全协议和应用程序自动验证(AVISPA)工具对我们的方案进行了正式的安全验证,仿真结果清楚地表明,我们的方案可以抵抗主动和被动攻击,包括重播和中间人攻击。最后,我们证明了我们的方案在针对客户端-服务器环境的现有相关基于ECC的身份验证方案方面的计算效率也很高。

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