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An Enhanced Lightweight Biometric-Based Three-Factor Anonymous Authentication Protocol for Mobile Cloud Computing

机译:用于移动云计算的增强型基于轻量级生物特征的三要素匿名认证协议

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In mobile cloud computing, mobile devices generally share data with cloud servers through untrusted wireless networks, which leads to security risks. Therefore, it is extremely important to design a secure and effective authentication protocol to ensure the legitimacy of data access in mobile cloud computing. However, existing authentication protocols for mobile environment have various security vulnerabilities, such as failure to resist impersonation attack, ephemeral secret leakage attack and privileged insider attack. Moreover, mobile devices are restricted in computing, communication, and storage resources. Hence, designing a security and efficiency balanced authentication protocol has become a primary challenge for mobile cloud computing. In this paper, we first put forward an enhanced lightweight biometric-based three-factor anonymous authentication protocol for mobile cloud computing, which is based on hash operations, XOR operations, and fuzzy extractor functions. Second, we adopt the automated security verification tool ProVerif to verify security features and robustness, and analyze informal security. Third, we compare the security and complexity of the proposed protocol with other relevant protocols. The results demonstrate that our protocol has lower computation and communication costs while maintaining security.
机译:在移动云计算中,移动设备通常通过不受信任的无线网络与云服务器共享数据,这会带来安全风险。因此,设计安全有效的身份验证协议以确保移动云计算中数据访问的合法性极为重要。但是,现有的用于移动环境的身份验证协议具有各种安全漏洞,例如无法抵抗模拟攻击,短暂的秘密泄漏攻击和特权内部人员攻击。此外,移动设备在计算,通信和存储资源方面受到限制。因此,设计安全性和效率平衡的身份验证协议已成为移动云计算的主要挑战。在本文中,我们首先针对移动云计算提出了一种增强的基于轻量级生物特征的三要素匿名身份验证协议,该协议基于哈希运算,XOR运算和模糊提取函数。其次,我们采用自动安全验证工具ProVerif来验证安全功能和健壮性,并分析非正式安全性。第三,我们将提议的协议与其他相关协议的安全性和复杂性进行了比较。结果表明,我们的协议在保持安全性的同时具有较低的计算和通信成本。

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