Deep features fusion for user authentication based on human activity
Abstract The exponential growth in the use of smartphones means that users must constantly be concerned about the security and privacy of mobile data because the loss of a mobile device could compromise personal information. To address this issue, continuous authentication systems have been proposed...
Main Authors: | Yris Brice Wandji Piugie, Christophe Charrier, Joël Di Manno, Christophe Rosenberger |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi-IET
2023-07-01
|
Series: | IET Biometrics |
Subjects: | |
Online Access: | https://doi.org/10.1049/bme2.12115 |
Similar Items
-
A Comprehensive Survey on ECG Signals as New Biometric Modality for Human Authentication: Recent Advances and Future Challenges
by: Anthony Ngozichukwuka Uwaechia, et al.
Published: (2021-01-01) -
Human identification based on gait /
by: 402701 Nixon, Mark S., et al.
Published: (2005) -
Evaluation of stability of swipe gesture authentication across usage scenarios of mobile device
by: Elakkiya Ellavarason, et al.
Published: (2020-03-01) -
Design and Implementation of a Lightweight Deep CNN-Based Plant Biometric Authentication System
by: Wenqing Yan, et al.
Published: (2023-01-01) -
A biometric‐based verification system for handwritten image‐based signatures using audio to image matching
by: Abdulaziz Almehmadi
Published: (2022-03-01)