TY - JOUR
T1 - Multi-modal decision fusion for continuous authentication
AU - Fridman, Lex
AU - Stolerman, Ariel
AU - Acharya, Sayandeep
AU - Brennan, Patrick
AU - Juola, Patrick
AU - Greenstadt, Rachel
AU - Kam, Moshe
AU - Gomez, Felix
N1 - Publisher Copyright:
© 2014 Elsevier Ltd. All rights reserved.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2015
Y1 - 2015
N2 - Active authentication is the process of continuously verifying a user based on their ongoing interaction with a computer. In this study, we consider a representative collection of behavioral biometrics: two low-level modalities of keystroke dynamics and mouse movement, and a high-level modality of stylometry. We develop a sensor for each modality and organize the sensors as a parallel binary decision fusion architecture. We consider several applications for this authentication system, with a particular focus on secure distributed communication. We test our approach on a dataset collected from 67 users, each working individually in an office environment for a period of approximately one week. We are able to characterize the performance of the system with respect to intruder detection time and robustness to adversarial attacks, and to quantify the contribution of each modality to the overall performance.
AB - Active authentication is the process of continuously verifying a user based on their ongoing interaction with a computer. In this study, we consider a representative collection of behavioral biometrics: two low-level modalities of keystroke dynamics and mouse movement, and a high-level modality of stylometry. We develop a sensor for each modality and organize the sensors as a parallel binary decision fusion architecture. We consider several applications for this authentication system, with a particular focus on secure distributed communication. We test our approach on a dataset collected from 67 users, each working individually in an office environment for a period of approximately one week. We are able to characterize the performance of the system with respect to intruder detection time and robustness to adversarial attacks, and to quantify the contribution of each modality to the overall performance.
KW - Active authentication
KW - Behavioral biometrics
KW - Decision fusion
KW - Distributed communication
KW - Multimodal biometric systems
KW - Security and privacy
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U2 - 10.1016/j.compeleceng.2014.10.018
DO - 10.1016/j.compeleceng.2014.10.018
M3 - Article
AN - SCOPUS:84927731323
VL - 41
SP - 142
EP - 156
JO - Computers and Electrical Engineering
JF - Computers and Electrical Engineering
SN - 0045-7906
IS - C
ER -