Quickest Intruder Detection for Multiple User Active Authentication

06/21/2020
by   Pramuditha Perera, et al.
0

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.

READ FULL TEXT

page 1

page 3

research
01/29/2019

MultiLock: Mobile Active Authentication based on Multiple Biometric and Behavioral Patterns

In this paper we evaluate mobile active authentication based on an ensem...
research
04/22/2018

Active Authentication of Keyboard Users: Performance Evaluation on 736 Subjects

Keystroke timing based active authentication systems are conceptually at...
research
10/25/2016

Active User Authentication for Smartphones: A Challenge Data Set and Benchmark Results

In this paper, automated user verification techniques for smartphones ar...
research
03/04/2019

Active Authentication using an Autoencoder regularized CNN-based One-Class Classifier

Active authentication refers to the process in which users are unobtrusi...
research
07/13/2022

A Personalised User Authentication System based on EEG Signals

Conventional biometrics have been employed in high security user authent...
research
12/30/2022

Hierarchical Forgery Classifier On Multi-modality Face Forgery Clues

Face forgery detection plays an important role in personal privacy and s...
research
07/18/2018

Continuous Authentication of Smartphones Based on Application Usage

An empirical investigation of active/continuous authentication for smart...

Please sign up or login with your details

Forgot password? Click here to reset