Behavioral Biometrics
Behavioral Biometrics is a field of study that uses machine learning algorithms to analyze and identify unique patterns in human behavior, such as typing rhythm, mouse movements, and voice patterns. These patterns can be used to authenticate and verify the identity of an individual, detect fraud, and prevent cyber attacks. Behavioral biometrics is a passive form of authentication that does not require any active participation from the user, making it a convenient and non-intrusive method of identity verification. The technology behind behavioral biometrics is constantly evolving, with new algorithms and techniques being developed to improve accuracy and reliability.
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