Medical Biometrics Enabling Security Technologies (MBEST)

越来越多的安全解决方案基于生物识别技术，用于身份认证、安全监控系统、数据通信和访问控制。然而，常用的生物识别模式，如指纹、虹膜和人脸，都很容易被规避、重播和混淆攻击。另一方面，医学生物特征识别包括一组新的模式，如心电(CG)、脑电(EEG)、耳声发射(OAE)、心音(PCG)等，由于它们位于人体内部，因此难以窃取或伪造，因此对这些攻击具有很强的抵抗力。此外，它们提供固有的活性检测和持续身份验证的可能性，因为它们可以每隔几秒提供新的生物识别读数。

A growing number of security solutions is based on Biometrics recognition technologies for identity authentication, secure monitoring systems, data communication and access control . However, the commonly used biometric modalities such as the fingerprint, iris and face, are venerable to circumvention, replay and obfuscation attacks. On the other hand, medical biometrics which include a novel set of modalities such as the electrocardiogram (ECG), the electroencephalogram (EEG), Oto-acoustic emissions (OAE), the Phonocardiogram (PCG), among others, are robust to these attacks because they are internal to the body and therefore difficult to steal or forge. Furthermore, they offer inherent liveness detection and possibility of continuous authentication since they can provide a fresh biometric reading every couple of seconds.