Results 51 to 60 of about 504 (172)

On the Optimal Selection of Mel‐Frequency Cepstral Coefficients for Voice Deepfake Detection

Expert Systems, Volume 43, Issue 5, May 2026.
ABSTRACT The continuous evolution of techniques for generating manipulated audio, known as voice deepfakes, and the widespread availability of tools that produce convincing forgeries have created an urgent need for reliable detection methods. This work considers the dimensionality of Mel‐Frequency Cepstral Coefficients (MFCCs) as a core design variable
Sergio A. Falcón‐López, Llanos Tobarra, Antonio Robles‐Gómez, Rafael Pastor‐Vargas   +3 more
wiley   +1 more source

A Probability‐Aware AI Framework for Reliable Anti‐Jamming Communication

CAAI Transactions on Intelligence Technology, Volume 11, Issue 2, Page 349-366, April 2026.
ABSTRACT Adversarial jamming attacks have increased on communication systems, causing distortion and threatening transmissions. Typical attacks rely on traditional, well‐defined cryptographic protocols and frequency‐hopping techniques. Nevertheless, these techniques become vulnerable when facing intelligent jammers.
Tawfeeq Shawly, Ahmed A. Alsheikhy
wiley   +1 more source

Latent Distribution Adjusting for Face Anti-Spoofing

CoRR, 2023
With the development of deep learning, the field of face anti-spoofing (FAS) has witnessed great progress. FAS is usually considered a classification problem, where each class is assumed to contain a single cluster optimized by softmax loss. In practical deployment, one class can contain several local clusters, and a single-center is insufficient to ...
Qinghong Sun, Zhenfei Yin, Yichao Wu, Yuanhan Zhang, Jing Shao   +4 more
openaire   +2 more sources

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, Oscar Romero, Antonio Leon, Jaime Lloret   +3 more
wiley   +1 more source

Disguised face liveness detection: an ensemble approach using deep features

Cogent Engineering
Deep learning models have surpassed classic machine learning models in face anti-spoofing detection during the last decade. Most face-spoofing detection algorithms are biased toward a single presentation attack, failing to robustly detect multiple ...
Padmashree G., Karunakar A. K.
doaj   +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, Hong Liu, Yongheng Zhang, Youbin Zheng, Xuyin Ding, Mengni Zhu, Guoyue Shi, Yan Wang, Hossam Haick, Min Zhang   +9 more
wiley   +1 more source

3D Face Anti-Spoofing With Dense Squeeze and Excitation Network and Neighborhood-Aware Kernel Adaptation Scheme

IEEE Access
Face anti-spoofing is a critical challenge in biometric security systems, where sophisticated spoofing techniques pose significant threats. To enhance the effectiveness and efficiency of the methods employed for face anti-spoofing, this paper presents a ...
Mohammed Kareem Hussein Hussein, Osman Nuri Ucan   +1 more
doaj   +1 more source

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

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

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

SECURITY 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

Robustness Analysis of Distributed CNN Model Training in Expression Recognition

IET 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