A Lightweight User Authentication Scheme Based on Fuzzy Extraction Technology for Wireless Sensor Networks

Rui-Hong Dong, Bu-Bu Ren, Qiu-yu Zhang, Hui Yuan
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Abstract

In order to improve the balanced relationships among security, privacy and design overhead for existing wireless sensor networks (WSNs) user authentication scheme, a lightweight user authentication scheme based on fuzzy extraction technology for WSNs. The present scheme combined with biometric fuzzy extraction technology and hash function to generate biometric key, which eliminates the user password factor in the existing authentication schemes. In addition, the proposed scheme can complete mutual authentication and session key agreement between legitimate users and sensor nodes only by using xor, hash and other operations with the lower computation overhead. And the heuristic security analysis, BAN logic model and random oracle model are used for security verification and performance analysis of the current scheme. The results of analysis and verification show that our scheme achieves more security and functional features, and keeps computational efficiency. Compared with other related works, our scheme is more suitable for practical application.
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基于模糊提取技术的无线传感器网络轻量级用户认证方案
为了改善现有无线传感器网络用户认证方案在安全性、隐私性和设计开销之间的平衡关系,提出了一种基于模糊提取技术的轻量级无线传感器网络用户认证方案。该方案结合生物特征模糊提取技术和哈希函数生成生物特征密钥,消除了现有认证方案中存在的用户密码因素。此外,该方案仅通过xor、hash等操作即可完成合法用户与传感器节点之间的相互认证和会话密钥协议,且计算开销较低。采用启发式安全分析、BAN逻辑模型和随机oracle模型对当前方案进行安全验证和性能分析。分析和验证结果表明,该方案在保证计算效率的前提下,实现了更高的安全性和功能特性。与其他相关工作相比,我们的方案更适合实际应用。
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