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An Improvement of Robust and Efficient Biometrics Based Password Authentication Scheme for Telecare Medicine Information Systems Using Extended Chaotic Maps

机译:基于扩展混沌映射的远程医疗医学信息系统基于鲁棒高效生物密码认证方案的改进

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Recently, numerous extended chaotic map-based password authentication schemes that employ smart card technology were proposed for Telecare Medical Information Systems (TMISs). In 2015, Lu et al. used Li et al.'s scheme as a basis to propose a password authentication scheme for TMISs that is based on biometrics and smart card technology and employs extended chaotic maps. Lu et al. demonstrated that Li et al.'s scheme comprises some weaknesses such as those regarding a violation of the session-key security, a vulnerability to the user impersonation attack, and a lack of local verification. In this paper, however, we show that Lu et al.'s scheme is still insecure with respect to issues such as a violation of the session-key security, and that it is vulnerable to both the outsider attack and the impersonation attack. To overcome these drawbacks, we retain the useful properties of Lu et al.'s scheme to propose a new password authentication scheme that is based on smart card technology and requires the use of chaotic maps. Then, we show that our proposed scheme is more secure and efficient and supports security properties.
机译:最近,为Telecare医疗信息系统(TMIS)提出了许多采用智能卡技术的基于扩展混沌图的密码认证方案。 2015年,Lu等。以Li等人的方案为基础,提出了基于生物识别技术和智能卡技术并采用扩展混沌映射的TMIS密码认证方案。 Lu等。证明了Li等人的方案存在一些弱点,例如那些与会话密钥安全性违背有关的弱点,对用户模拟攻击的弱点以及缺少本地验证的弱点。但是,在本文中,我们表明Lu等人的方案在诸如违反会话密钥安全性之类的问题上仍然不安全,并且容易受到外部攻击和冒名顶替攻击。为了克服这些缺点,我们保留了Lu等人方案的有用特性,以提出一种新的基于智能卡技术的密码认证方案,并且需要使用混沌映射。然后,我们证明了我们提出的方案更加安全有效,并支持安全性。

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