Taxonomy of Biometric-based Authentication Schemes for Mobile Computing Devices
Mohamed Amine Ferrag, Leandros A. Maglaras, Abdelouahid Derhab, Abdelaziz Amara Korba · 2018
In this paper, we provide a comprehensive review of state-of-the-art results for biometric-based authentication schemes in mobile computing devices. We select and examine twenty biometric-based authentication schemes developed for mobile computing devices. We discuss current issues that hinder biometrics models' development and deployment on a large scale, including human physiological (e.g., face, eyes, fingerprints-palm, or electrocardiogram) and behavioral features (e.g., signature, voice, gait, or keystroke). Threat models and countermeasures used by biometrics-based authentication schemes for mobile computing devices are also presented. Throughout, we identify the pitfalls and limitations of the existing biometric-based authentication schemes for mobile computing devices. Based on the current taxonomy, we discuss the research problems and outline directions for future research efforts in biometrics-based authentication schemes for mobile devices.