Identification of different classes of Malware using a shallow layered convolutional neural network -Converting the binaries of malware code into grayscale images, then packing them and preparing datasets. -Training a convolutional neural network on the prepared datasets to identify and classify the IoT malware families into goodware and DDOS malware. Datasets not provided