Hegðunarbiometríu

Hegðunarbiometríu, also known as behavioral biometrics, is a method of identifying or verifying individuals based on their unique patterns of behavior. Unlike traditional biometrics that rely on physical characteristics such as fingerprints or facial features, behavioral biometrics focuses on how a person acts. This includes a wide range of actions, such as typing rhythm, mouse movement patterns, gait analysis, voice inflections, and even the way someone holds their mobile device.

The core principle behind behavioral biometrics is that each individual has a distinctive way of performing tasks, which is difficult for impostors to replicate. When a user interacts with a system, their behavioral patterns are continuously monitored and analyzed. This data is compared against a pre-established profile of the legitimate user. If the observed behavior deviates significantly from the known pattern, it can trigger an alert or even deny access, signifying a potential security threat.

Behavioral biometrics can be used in various applications, including fraud detection, authentication, and user experience enhancement. For instance, in online banking, it can detect if a fraudulent actor is attempting to access an account by analyzing unusual typing speeds or navigation patterns. It offers a passive form of security, as users are authenticated in the background without requiring explicit action, thus improving both security and user convenience. However, challenges include the need for continuous learning to adapt to natural behavioral changes and the potential for false positives or negatives.