L. Sheela

Hybrid Gce Cnn–Bilstm For Advanced Malware Detection Using Behavioral And Sequential Features

The study introduces an innovative approach of deep learning-based hybrid system to classify malware  based on its real-time detection using a novel architecture called “Gated Convolutional Embedded Convolutional Network - Bidirectional Long Short-Term Memory (GCE-CNN-BiLSTM)” that integrates both static and dynamic se...