@inProceedings{
 title = {Effect of context in swipe gesture-based continuous authentication on smartphones},
 type = {inProceedings},
 year = {2018},
 pages = {639-644},
 id = {fa7cc0ab-0f6b-3b53-b74b-be44b14b4de7},
 created = {2019-11-19T13:00:45.122Z},
 file_attached = {false},
 profile_id = {bddcf02d-403b-3b06-9def-6d15cc293e20},
 group_id = {17585b85-df99-3a34-98c2-c73e593397d7},
 last_modified = {2019-11-19T13:49:16.583Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {bisg:2199},
 source_type = {inproceedings},
 private_publication = {false},
 abstract = {This work investigates how context should be taken into account when conducting continuous authentication of a smartphone user based on touchscreen and accelerometer readings from swipe gestures. The study is based on publicly open data set consisting of 100 study subjects performing pre-defined reading and navigation tasks while sitting or 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.},
 bibtype = {inProceedings},
 author = {Siirtola, P and Komulainen, J and Kellokumpu, V},
 booktitle = {26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2018}
}

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