Effect of context in swipe gesture-based continuous authentication on smartphones
This work addresses authentication accuracy for smartphone users, but it is incremental as it builds on existing datasets and methods.
The study tackled the problem of continuous smartphone authentication using swipe gestures by showing that context-specific models for different usage and activity scenarios minimize authentication error, and found that phone movement improves verification only when the user is moving, based on experiments with 100 subjects in the HMOG dataset.
This work investigates how context should be taken into account when performing continuous authentication of a smartphone user based on touchscreen and accelerometer readings extracted from swipe gestures. The study is conducted on the publicly available HMOG dataset consisting of 100 study subjects performing pre-defined reading and navigation tasks while sitting and walking. It is shown that context-specific models are needed for different smartphone usage and human activity scenarios to minimize authentication error. Also, the experimental results suggests that utilization of phone movement improves swipe gesture-based verification performance only when the user is moving.