We are currenyly working with BIG 2015 dataset, where we have created black and white images using the OP code files given. Then we have used a generator to create similar looking images to the actual dataset images. We have used discriminator in tandem to improved the generated images. Now we have to create a CNN to which is trained on original + generated images, then classify unseen data into 10 classes of malwares.