Quickest Intruder Detection for Multiple User Active Authentication

• URL: http://arxiv.org/abs/2006.11921v1
• Date: Sun, 21 Jun 2020 21:59:01 GMT
• Title: Quickest Intruder Detection for Multiple User Active Authentication
• Authors: Pramuditha Perera, Julian Fierrez, Vishal M. Patel
• Abstract summary: We formulate the Multiple-user Quickest Intruder Detection (MQID) algorithm. 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.
• Score: 74.5256211285431
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

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