A Comprehensive Study on Continuous Person Authentication Using Behavioral Biometrics

This research begins by presenting a brief overview of the theory of behavioral biometrics, which involves the analysis and measurement of unique behavioral patterns exhibited by individuals. It delves into the various kinds of behavioral traits, such as gait biometrics, keystroke patterns, voice recognition, signature analysis, and eye movement patterns. It covers various forms of behavioral biometrics, their practical applications, the methodology applied, datasets used and the challenges and obstacles faced during the implementation of behavioral biometrics. The paper discusses how these techniques can be used for identity verification in various domains, including banking, financial, healthcare and access control systems. It highlights the advances of behavioral biometrics over traditional methods, similar to passwords and PINs, in terms of convenience, accuracy, and security. The paper discusses issues related to data collection, privacy concerns, user acceptance, and the need for standardization and interoperability. The significance of addressing these problems in order to enable the effective implementation of behavioral biometrics in real-world situations is emphasized in the study. Furthermore, the paper explores the potential advancements and future directions in the field of behavioral biometrics. The paper also highlights the potential integration of behavioral biometrics with other modalities, such as facial, fingerprint and iris recognition, to create more robust and multi-modal authentication systems. In conclusion, this comprehensive review paper provides a thorough examination of behavioral biometrics as a growing area of study. The paper provides a great reference for researchers, practitioners, and policymakers interested in learning about and implementing behavioral biometrics for identity verification.