Results 51 to 60 of about 885 (179)

Design and Fabrication of Capacitive Mems Actuator Array on Spoof‐Surface‐Plasmon‐Polariton Waveguide for Active Microwave Modulation

open access: yesAdvanced Photonics Research, Volume 7, Issue 1, January 2026.
a) Schematic of the SSPP waveguide integrated with SRR metamaterial and MEMS actuator arrays with electric field confinement in the gap below the microbridge. b) Cross‐section of the MEMS actuator consists of a buried lead line and a microbridge at different deflection positions. c) The notch band in the microwave transmission characteristic shifts due
Van Minh Nguyen, Yoshiaki Kanamori
wiley   +1 more source

Optimized Liveness Detection for Fast and Accurate Fingerprint Anti-Spoofing With Optical Coherence Tomography

open access: yesIEEE Photonics Journal
Optical coherence tomography (OCT) offers high-resolution imaging of internal finger structures, making it attractive for fingerprint recognition. Anti-spoofing research in OCT includes both static and liveness anti-spoofing.
Yilong Zhang   +8 more
doaj   +1 more source

Ultrathin Broadband Terahertz Metamaterial Absorber Based on Multimode Spoof Localized Surface Plasmon Resonators

open access: yesAdvanced Photonics Research, Volume 7, Issue 1, January 2026.
This work presents an ultrathin terahertz metamaterial absorber that achieves broadband and polarization‐insensitive performance through multimode spoof‐plasmon resonances and tunable indium tin oxide loss engineering. The absorber offers near‐Rozanov‐limit thickness and optical transparency, enabling integration into compact and multifunctional THz ...
Jinlin Mu   +8 more
wiley   +1 more source

A Survey of SIR‐Based Differential Epidemic Models for Control and Security Against Malware Propagation in Computer Networks

open access: yesSECURITY AND PRIVACY, Volume 9, Issue 1, January/February 2026.
ABSTRACT Unarguably, malware and their variants have metamorphosed into objects of attack and cyber warfare. These issues have directed research focus to modeling infrastructural settings and infection scenarios, analyzing propagation mechanisms, and conducting studies that highlight optimized remedial measures.
Chukwunonso Henry Nwokoye
wiley   +1 more source

RETRACTED: Meng et al. A Survey of GNSS Spoofing and Anti-Spoofing Technology. Remote Sens. 2022, 14, 4826

open access: yesRemote Sensing
The journal retracts the article titled “A Survey of GNSS Spoofing and Anti-Spoofing Technology” [...]
Lianxiao Meng   +3 more
doaj   +1 more source

Robustness Analysis of Distributed CNN Model Training in Expression Recognition

open access: yesIET Biometrics, Volume 2026, Issue 1, 2026.
Facial expression recognition is vital in pattern recognition and affective computing. With the advancement of deep learning, its performance has improved, yet challenges remain in nonlaboratory environments due to occlusion, poor lighting, and varying head poses.
Jun Li, Jun Wan
wiley   +1 more source

Anti-Spoofing Authentication

open access: yesInternational Journal of Engineering and Advanced Technology, 2019
Biometrics, One Among the existing security authentication schemes, involves parts of body for identification, hence used in various fields. Due to the level of its simplicity fingerprint recognition remains popular. But the introduction of many technologies has made to lose its uniqueness by just taking a finger print scan, print it on special paper ...
V. Lalitha   +3 more
openaire   +1 more source

Face Anti-Spoofing with Human Material Perception [PDF]

open access: yes, 2020
Face anti-spoofing (FAS) plays a vital role in securing the face recognition systems from presentation attacks. Most existing FAS methods capture various cues (e.g., texture, depth and reflection) to distinguish the live faces from the spoofing faces.
Yu, Z. (Zitong)   +4 more
openaire   +3 more sources

Unified Physical–Digital Face Attack Detection Challenge: A Review

open access: yesIET Biometrics, Volume 2026, Issue 1, 2026.
Face antispoofing (FAS) technologies play a pivotal role in safeguarding face recognition (FR) systems against potential security loopholes. The biometric community has witnessed significant advancements lately, largely due to the exceptional performance of deep learning architectures and the abundance of substantial datasets.
Junze Zheng   +12 more
wiley   +1 more source

One-Class Learning Method Based on Live Correlation Loss for Face Anti-Spoofing

open access: yesIEEE Access, 2020
As biometric authentication systems are popularly used in various mobile devices, e.g., smart-phones and tablets, face anti-spoofing methods have been actively developed for the high-level security.
Seokjae Lim   +4 more
doaj   +1 more source

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