Biometric authentication prospered during the 2010s. Vulnerability to spoofing attacks remains an inherent problem with traditional biometrics. Recently, unobservable physiological signals (e.g., Electroencephalography, Photoplethysmography, Electrocardiography) as biometrics have been considered a potential solution to this problem. In particular, Photoplethysmography (PPG) measures the change of blood flow of the human body by an optical method. Clinically, researchers commonly use PPG signals to obtain patients' blood oxygen saturation, heart rate, and other information to assist in diagnosing heart-related diseases. Since PPG signals are easy to obtain and contain a wealth of individual cardiac information, researchers have begun to explore its potential applications in information security. The unique advantages (simple acquisition, difficult to steal, and live detection) of the PPG signal allow it to improve the security and usability of the authentication in various aspects. However, the research on PPG-based authentication is still in its infancy. The lack of systematization hinders new research in this field. We conduct a comprehensive study of PPG-based authentication and discuss these applications' limitations before pointing out future research directions.
翻译:在2010年代,生物测定认证取得了丰硕成果。在传统生物鉴别学方面,容易发生攻击事件仍然是一个固有的固有问题。最近,由于生物测定学被认为是这一问题的潜在解决办法,因此无法观察到的生理信号(例如,电子脑谱学、光谱截图学、电动心电图学)被认为是生物测定学的一种潜在解决办法。特别是,光谱截图学(PPG)用光学方法测量人体血液流动的变化。在临床上,研究人员通常使用PPPG信号获得病人的血液氧饱和、心率和其他信息协助诊断与心脏有关的疾病。由于PPPG信号易于获得并包含大量的个人心脏信息,研究人员开始探索其在信息安全方面的潜在应用。PPG信号的独特优势(简单获取、难以偷盗和现场检测)使得它能够提高认证的各个方面的安全和可用性。然而,基于PPG的认证研究仍处于萌芽阶段。缺乏系统化阻碍了该领域的新研究。我们先要对PPGPG的认证进行一项全面的研究,然后指出这些限制。