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Explainable multi agent reinforcement learning framework for secure and adaptive communication in UAV swarm based fanets. [PDF]
Sci RepAlkahtani HK +3 more
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Secure TPMS Data Transmission in Real-Time IoV Environments: A Study on 5G and LoRa Networks. [PDF]
Sensors (Basel)Niranjan DK, Supriya M, Tiberti W.
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WAWA: Wavelet Analysis-Based Watermarking Authentication for GNSS Civil Signal with Immediate Symbol-Level Verification. [PDF]
Sensors (Basel)Tang X, Tang X, Lin H, Wu Y, Sun G.
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GNSS Interference Identification Driven by Eye Pattern Features: ICOA-CNN-ResNet-BiLSTM Optimized Deep Learning Architecture. [PDF]
Entropy (Basel)Wu C, Ji Y, Sun X.
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An Analysis and Simulation of Security Risks in Radar Networks from the Perspective of Cybersecurity. [PDF]
Sensors (Basel)Chen R, Zhang Y, Li X, Ran J.
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DeepSpoofNet: a framework for securing UAVs against GPS spoofing attacks. [PDF]
PeerJ Comput SciBadar AUR +6 more
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Progressive Transfer Learning for Face Anti-Spoofing
IEEE Transactions on Image Processing, 2021Face anti-spoofing (FAS) techniques play an important role in defending face recognition systems against spoofing attacks. Existing FAS methods often require a large number of annotated spoofing face data to train effective anti-spoofing models. Considering the attacking nature of spoofing data and its diverse variants, obtaining all the spoofing types
Ruijie Quan, Yu Wu, Xin Yu
exaly +4 more sources
2014
Anti-spoofing, or liveness detection, in multimodal biometrics is intended as the ability of a multimodal biometric system of detecting and rejecting access trials in which one or more spoofed biometric traits are submitted. For example, if a malicious user tries to access a system protected by personal verification through face and fingerprint, by ...
MARCIALIS, GIAN LUCA +2 more
openaire +2 more sources
Anti-spoofing, or liveness detection, in multimodal biometrics is intended as the ability of a multimodal biometric system of detecting and rejecting access trials in which one or more spoofed biometric traits are submitted. For example, if a malicious user tries to access a system protected by personal verification through face and fingerprint, by ...
MARCIALIS, GIAN LUCA +2 more
openaire +2 more sources