Results 61 to 70 of about 1,945,240 (165)
MLDAS: Machine Learning Dynamic Algorithm Selection for Software‐Defined Networking Security
Concurrency and Computation: Practice and Experience, Volume 38, Issue 5, March 2026.ABSTRACT Network security is a critical concern in the digital landscape of today, with users demanding secure browsing experiences and protection of their personal data. This study explores the dynamic integration of Machine Learning (ML) algorithms with Software‐Defined Networking (SDN) controllers to enhance network security through adaptive ...
Pablo Benlloch +3 more
wiley +1 more source
Anomaly Detection with Transformers in Face Anti-spoofing [PDF]
, 2023 Transformers are emerging as the new gold standard in various computer vision applications, and have already been used in face anti-spoofing demonstrating competitive performance. In this paper, we propose a network with the ViT transformer and ResNet as
Omar, Luma +3 more
core +1 more source
Face anti-spoofing with joint spoofing medium detection and eye blinking analysis [PDF]
Компьютерная оптика, 2019 Modern biometric systems based on face recognition demonstrate high recognition quality, but they are vulnerable to face presentation attacks, such as photo or replay attack.
Mikhail Nikitin +2 more
doaj +1 more source
Data‐Based Detection of Antagonistic Agents in a Robot Swarm Solving a Dynamic Coverage Task
International Journal of Mechanical System Dynamics, Volume 6, Issue 1, Page 22-32, March 2026.ABSTRACT Robot swarms can be deployed as moving surveillance systems, for instance, as mobile anti‐poaching systems for monitoring wildlife and detecting poaching activities. Since poachers have an interest in evading detection, robots are at risk of being hijacked and manipulated to behave antagonistically, for example, to prevent the correct ...
Ingeborg Wenger +2 more
wiley +1 more source
Handbook of biometric anti-spoofing: trusted biometrics under spoofing attacks
, 2014 Presenting the first definitive study of the subject, this Handbook of Biometric Anti-Spoofing reviews the state of the art in covert attacks against biometric systems and in deriving countermeasures to these attacks.
core +1 more source
Materials and System Design for Self‐Decision Bioelectronic Systems
Advanced Materials, Volume 38, Issue 9, 12 February 2026.This review highlights how self‐decision bioelectronic systems integrate sensing, computation, and therapy into autonomous, closed‐loop platforms that continuously monitor and treat diseases, marking a major step toward intelligent, self‐regulating healthcare technologies.
Qiankun Zeng +9 more
wiley +1 more source
Advanced 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
Face Anti-spoofing: Visual Approach
User authentication is an important step to protect information and in this regard face biometrics is advantageous. Face biometrics is natural, easy to use and less human-invasive.
Marcel, Sébastien +4 more
core +1 more source
Regularized Fine-Grained Meta Face Anti-Spoofing
, 2020 Face presentation attacks have become an increasingly critical concern when face recognition is widely applied. Many face anti-spoofing methods have been proposed, but most of them ignore the generalization ability to unseen attacks.
Shao, Rui, Lan, Xiangyuan, Yuen, Pong C.
core +1 more source
IEEE Photonics JournalOptical 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