@inproceedings{30c4143aa7674d4f90d485194419cb51,
title = "Gesture-based continuous authentication for wearable devices: The smart glasses use case",
abstract = "We study the feasibility of touch gesture behavioural biometrics for implicit authentication of users on smart glasses by proposing a continuous authentication system on Google Glass using two classifiers: SVM with RBF kernel, and a new classifier based on Chebyshev{\textquoteright}s concentration inequality. Based on data collected from 30 users, we show that such authentication is feasible both in terms of classification accuracy and computational load on Glass. We achieve a classification accuracy of up to 99% with only 75 training samples using behavioural biometric data from four different types of touch gestures. To show that our system can be generalized, we test its performance on touch data from smartphones and found the accuracy to be similar to Glass. Finally, our experiments on the permanence of gestures show that the negative impact of changing user behaviour with time on classification accuracy can be best alleviated by periodically replacing older training samples with new randomly chosen samples.",
author = "Jagmohan Chauhan and Asghar, {Hassan Jameel} and Anirban Mahanti and Kaafar, {Mohamed Ali}",
year = "2016",
doi = "10.1007/978-3-319-39555-5_35",
language = "English",
isbn = "9783319395548",
volume = "9696",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer, Springer Nature",
pages = "648--665",
editor = "Mark Manulis and Steve Schneider and Ahmad-Reza Sadeghi",
booktitle = "14th International Conference on Applied Cryptography and Network Security (ACNS) 2016 : proceedings",
address = "United States",
note = "14th International Conference on Applied Cryptography and Network Security, ACNS 2016 ; Conference date: 19-06-2016 Through 22-06-2016",
}