IEEE

Hybrid Approach for Zero-Day Malware Detection Using Deep Features and Support Vector Machines

Abstract: Because zero-day malware bypasses traditional signature-based detection methods, it poses a significant threat. The paper investigates a deep learning approach to classifying zero-day ...
IEEE

ISFL-AE: Insider-Specific Feature Learning Autoencoder for Lightweight Insider Threat Detection

Abstract: Malicious insiders who possess system access and security expertise are notoriously difficult to detect and can inflict severe financial damage. While recent advances in deep learning have ...
Frontiers

The application of deep neural networks to the detection of lumbar hernias: results from the approaches based on convolutional networks and transformers

The final, formatted version of the article will be published soon. ABSTRACT Background: The increasing demand for lumbar spine MRI exams, combined with radiologist shortages, has underscored the need ...