A Framework for Behavioral Biometric Authentication using Deep Metric Learning on Mobile Devices-Reference-Cited by-同舟云学术

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A Framework for Behavioral Biometric Authentication using Deep Metric Learning on Mobile Devices

Published:2021 Issue: Volume: Page:1-1
ISSN:1536-1233
Container-title:IEEE Transactions on Mobile Computing
language:
Short-container-title:IEEE Trans. on Mobile Comput.

Author:

Wang Cong¹,Xiao Yanru²,Gao Xing³,Li Li⁴,Wang Jun⁵

Affiliation:

1. Computer Science, Old Dominion University, 6042 Norfolk, Virginia, United States, 23529 (e-mail: c1wang@odu.edu)

2. Computer Science, Old Dominion University, 6042 Norfolk, Virginia, United States, (e-mail: yxiao002@odu.edu)

3. Computer Science Department, University of Delaware College of Engineering, 137751 Newark, Delaware, United States, (e-mail: xgao@udel.edu)

4. computer science, Shenzhen Institutes of Advanced Technology, 85411 Shenzhen, GUANGDONG, China, 518055 (e-mail: li.li@siat.ac.cn)

5. N/A, Huawei US R&D, Santa Clara, California, United States, (e-mail: jwang86@yahoo.com)

Funder

Commonwealth Cyber Initiative

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

http://xplorestaging.ieee.org/ielx7/7755/4358975/09400755.pdf?arnumber=9400755

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3. Deep learning based authentication schemes for smart devices in different modalities: progress, challenges, performance, datasets and future directions;Multimedia Tools and Applications;2024-02-08

4. MTSFBet: A Hand-Gesture-Recognition-Based Identity Authentication Approach for Passive Keyless Entry Against Relay Attack;IEEE Transactions on Mobile Computing;2024-02

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