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A Cancelable Iris- and Steganography-Based User Authentication System for the Internet of Things

机译:基于可虹膜和隐写术的可取消物联网用户认证系统

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摘要

Remote user authentication for Internet of Things (IoT) devices is critical to IoT security, as it helps prevent unauthorized access to IoT networks. Biometrics is an appealing authentication technique due to its advantages over traditional password-based authentication. However, the protection of biometric data itself is also important, as original biometric data cannot be replaced or reissued if compromised. In this paper, we propose a cancelable iris- and steganography-based user authentication system to provide user authentication and secure the original iris data. Most of the existing cancelable iris biometric systems need a user-specific key to guide feature transformation, e.g., permutation or random projection, which is also known as key-dependent transformation. One issue associated with key-dependent transformations is that if the user-specific key is compromised, some useful information can be leaked and exploited by adversaries to restore the original iris feature data. To mitigate this risk, the proposed scheme enhances system security by integrating an effective information-hiding technique—steganography. By concealing the user-specific key, the threat of key exposure-related attacks, e.g., attacks via record multiplicity, can be defused, thus heightening the overall system security and complementing the protection offered by cancelable biometric techniques.
机译:物联网(IoT)设备的远程用户身份验证对于IoT安全至关重要,因为它有助于防止未经授权的IoT网络访问。生物识别技术是一种有吸引力的身份验证技术,因为它比传统的基于密码的身份验证具有优势。但是,生物特征数据本身的保护也很重要,因为如果原始生物特征数据遭到破坏,则无法替换或重新发布。在本文中,我们提出了一种基于可取消虹膜和隐写术的用户身份验证系统,以提供用户身份验证并保护原始虹膜数据。现有的大多数可取消虹膜生物测定系统中的大多数都需要用户特定的键来引导特征变换,例如置换或随机投影,这也称为键依赖变换。与密钥相关的转换相关的一个问题是,如果特定于用户的密钥受到破坏,那么对手可能会泄漏并利用一些有用的信息来恢复原始虹膜特征数据。为了减轻这种风险,建议的方案通过集成有效的信息隐藏技术-隐写术来增强系统安全性。通过隐藏用户特定的密钥,可以消除与密钥暴露相关的攻击(例如,通过记录多重性进行的攻击)的威胁,从而提高了整体系统的安全性,并补充了可取消的生物识别技术提供的保护。

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