国家自然科学基金(62202180, U20B2049, U21B2018, 62132011)
ZHOU Man
Hubei Key Laboratory of Distributed System Security (Huazhong University of Science and Technology), Wuhan 430074, China;Hubei Engineering Research Center on Big Data Security (Huazhong University of Science and Technology), Wuhan 430074, China;School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaLI Xiang-Qian
Hubei Key Laboratory of Distributed System Security (Huazhong University of Science and Technology), Wuhan 430074, China;Hubei Engineering Research Center on Big Data Security (Huazhong University of Science and Technology), Wuhan 430074, China;School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaZHOU Yu-Ting
Hubei Key Laboratory of Distributed System Security (Huazhong University of Science and Technology), Wuhan 430074, China;Hubei Engineering Research Center on Big Data Security (Huazhong University of Science and Technology), Wuhan 430074, China;School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China随着移动终端的普及和用户隐私数据保护需求的增强, 基于移动终端的身份认证研究引起了广泛关注. 近年来, 移动终端的音频传感器为设计性能优良的新颖身份认证方案提供了更大的灵活性和可拓展性. 在调研了大量相关科研文献的基础上, 首先按照依赖凭据和感知方法的不同将基于声感知的移动终端身份认证方案进行分类, 并描述相应的攻击模型; 然后梳理移动终端基于不同认证凭据和基于声感知的身份认证国内外研究进展, 并进行分析、总结和对比; 最后结合当前研究的困难和不足, 给出衡量身份认证系统性能的两大指标(安全性和实用性), 对未来的研究方向进行展望.
With the popularity of mobile devices and the enhancement of users’ requirements for privacy protection, studies of user authentication on mobile devices have attracted widespread attention. Recently, the audio infrastructures of mobile devices have provided greater flexibility and scalability for the design of novel user authentication schemes with excellent performance. After surveying a large number of related works, this study first classifies acoustic sensing-based user authentication schemes on mobile devices according to the difference in authentication metrics and sensing methods and describes the corresponding attack model. Then, it analyzes and compares single authentication metric-based and acoustic sensing-based user authentication schemes on mobile devices. Finally, combined with the problems of existing works, this study gives two metrics (security and practicability) to measure the performance of the user authentication system and discuss future research directions.
周满,李向前,王骞,李琦,沈超,周雨庭.基于声感知的移动终端身份认证综述.软件学报,2025,36(5):2229-2253
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