Quickest Intruder Detection for Multiple User Active Authentication
Computer Vision and Pattern Recognition
2020-06-23 v1
Abstract
In this paper, we investigate how to detect intruders with low latency for Active Authentication (AA) systems with multiple-users. We extend the Quickest Change Detection (QCD) framework to the multiple-user case and formulate the Multiple-user Quickest Intruder Detection (MQID) algorithm. Furthermore, we extend the algorithm to the data-efficient scenario where intruder detection is carried out with fewer observation samples. We evaluate the effectiveness of the proposed method on two publicly available AA datasets on the face modality.
Keywords
Cite
@article{arxiv.2006.11921,
title = {Quickest Intruder Detection for Multiple User Active Authentication},
author = {Pramuditha Perera and Julian Fierrez and Vishal M. Patel},
journal= {arXiv preprint arXiv:2006.11921},
year = {2020}
}
Comments
Accepted for publication in ICIP 2020