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As a result, several new behavioral biometric schemes have been proposed. The search for new authentication methods to replace passwords for modern mobile devices such as smartphones and tablets has attracted a substantial amount of research in recent years.

Keywords Machine Learning, Behavioral Biometrics, Continuous Authentication, Mobile Devices, Attacks, Defense, Survey. Finally, our discussions extend to lessons learned, current challenges and future trends. Further, we conduct another review that showed the vulnerability of machine learning models against well-designed adversarial attack vectors and we highlight relevant countermeasures. Then, we provide a state-of-the-art literature review focusing on the machine learning models performance in seven types of behavioral biometrics for continuous authentication. In our survey, we first present a classification of behavioral biometrics and continuous authentication technologies for mobile devices and an analysis for behavioral biometrics collection methodologies and feature extraction techniques. Our aim is to help interested researchers to effectively grasp the background in this field and to avoid pitfalls in their work. This paper offers an up-to-date, comprehensive, extensive and targeted survey on Behavioral Biometrics and Continuous Authentication technologies for mobile devices.

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