Lightweight Convolution Neural Network for Image-Based Malware Classification on Embedded Systems

In the application of the internet of things (IoT), the hardware devices used are embedded systems, this causes the IoT system to be very vulnerable to malware attacks because the computing resources in the embedded system do not support running conventional security programs. In this research, we propose a lightweight convolution neural network model for image-based malware classification that ca...