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A biometrics-based robust and secure user authentication protocol for e-healthcare service

机译:基于生物特征的健壮和安全的用户身份验证协议,用于电子医疗服务

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In e-healthcare services like Telecare Medicine Information Systems (TMIS), proper user authentication is necessary for a secured access of medical server data by authorized doctors or patients. As key size Chebyshev chaotic maps is smaller, it has been noted that chaotic maps based user authentication schemes have more efficiency than ECC or RSA based schemes. Unfortunately, literature study reveals that most of the available chaotic map based user authentication schemes in TMIS suffer from some common serious security weakness like parallel session and reflection attack, ephemeral secret key leakage attack etc. In this paper, we propose a provably secure and efficient new user authentication scheme based on extended chaotic map for TMIS. The scheme ingeniously uses smart card, password and user biometrics to achieve three-factor authentication. To prove the security of the proposed scheme, we provide both informal security analysis as well as formal security verification using BAN (Burrows, Abadi and Needham) logic. Further, performance analysis shows that the scheme is quite efficient and light-weight. Chebyshev chaotic maps Remote user authentication Telecare Medicine information system (TMIS) User biometrics BAN Logic.
机译:在远程医疗信息系统(TMIS)等电子医疗服务中,正确的用户身份验证对于授权医生或患者安全访问医疗服务器数据是必需的。由于密钥大小Chebyshev混沌映射较小,因此已经注意到,基于混沌映射的用户身份验证方案比基于ECC或RSA的方案具有更高的效率。不幸的是,文献研究表明,TMIS中大多数可用的基于混沌地图的用户身份验证方案都存在一些常见的严重安全漏洞,例如并行会话和反射攻击,临时密钥泄漏攻击等。在本文中,我们提出了可证明的安全有效TMIS的基于扩展混沌映射的新用户认证方案。该方案巧妙地使用了智能卡,密码和用户生物特征来实现三要素认证。为了证明所提出方案的安全性,我们提供了非正式安全分析以及使用BAN(Burrows,Abadi和Needham)逻辑的正式安全验证。此外,性能分析表明该方案非常有效且轻巧。切比雪夫(Chebyshev)混沌图远程用户身份验证Telecare Medicine信息系统(TMIS)用户生物特征识别BAN Logic。

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