When Your Fitness Tracker Betrays You - Quantifying the Predictability of Biometric Features Across Contexts

Explore a comprehensive analysis of behavioral biometric vulnerabilities in this 23-minute IEEE conference talk presented at the 2018 IEEE Symposium on Security & Privacy. Delve into the challenges of cross-context attacks on biometric authentication systems, focusing on scenarios where attackers predict biometric features from data gathered in different contexts. Examine the results of a user study involving 30 participants and five biometric modalities (ECG, eye movements, mouse movements, touchscreen dynamics, and gait) across various contexts. Discover which biometric features are most susceptible to prediction and learn about the comparative resilience of different biometric modalities against cross-context attacks. Gain valuable insights into the security implications of biometric data collected by fitness trackers and other devices, and understand the potential risks of using such data for authentication purposes.