Abstract: This study presents an integrated framework combining 1D-CNN-LSTM-Autoencoder-based anomaly detection with identity authentication using machine learning classifiers. The 1D-CNN-LSTM ...
Abstract: Biometrics have been widely applied for user authentication. However, existing biometric authentications are vulnerable to biometric spoofing, because they can be observed and forged. In ...
An enterprise-grade, cloud-native authentication solution leveraging AWS's serverless ecosystem, implementing military-standard AES-256 token encryption via KMS, automated bot detection through ...
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