How can behavioral biometrics, such as typing patterns or physical movements, be leveraged to improve authentication for IoT devices?
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Behavioral biometrics involving typing patterns or physical movements can enhance authentication for IoT devices by establishing unique user profiles based on these patterns. By analyzing how individuals interact with devices through their typing rhythm, gesture dynamics, or other physical attributes, IoT systems can create personalized behavior models for each user. This approach adds an extra layer of security compared to traditional methods like passwords or PINs, as it’s more difficult for malicious actors to replicate someone’s behavioral characteristics. Additionally, behavioral biometrics can work passively in the background, offering continuous authentication that adapts to the user’s changing behavior over time.