AUToSen: Deep-Learning-Based Implicit Continuous Authentication Using Smartphone Sensors-Reference-Cited by-同舟云学术

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AUToSen: Deep-Learning-Based Implicit Continuous Authentication Using Smartphone Sensors

Published:2020-06 Issue:6 Volume:7 Page:5008-5020
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Abuhamad Mohammed^ORCID,Abuhmed Tamer^ORCID,Mohaisen David^ORCID,Nyang DaeHun^ORCID

Funder

NRF

Collaborative Seed Award Program of Cyber Florida

Ewha Womans University Research Grant 2020

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/9115800/09007368.pdf?arnumber=9007368

Cited by 97 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unsupervised Sensor-Based Continuous Authentication With Low-Rank Transformer Using Learning-to-Rank Algorithms;IEEE Transactions on Mobile Computing;2024-09

2. FuMeAuth: Sensor-Based Continuous Authentication Using Fused Memory-Augmented Transformer Autoencoder;IEEE Internet of Things Journal;2024-08-01

3. Continuous Authentication Leveraging Matrix Profile;Proceedings of the 19th International Conference on Availability, Reliability and Security;2024-07-30

4. MotionID: Towards practical behavioral biometrics-based implicit user authentication on smartphones;Pervasive and Mobile Computing;2024-07

5. CoreTemp: Coreset Sampled Templates for Multimodal Mobile Biometrics;Applied Sciences;2024-06-14

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