Chevella Anil Kumar

A Hybrid CNN–LSTM Deep Learning Framework for Automated Malware Classification using Spatial–Sequential Feature Fusion

The high rate of growth of advanced and highly obfuscated malware has made the use of conventional signature detection mechanisms less viable. In order to overcome this problem, this paper suggests a hybrid framework for malware classification based on the combination of Convolutional Neural Networks (CNNs) and Long Sh...