Convolution neural network with batch normalization and inception-residual modules for Android malware classification
Abstract Deep learning technology is changing the landscape of cybersecurity research, especially the study of large amounts of data.With the rapid growth in the number of malware, developing of an efficient and reliable method for classifying malware has smith 4d mag alpine green become one of the research priorities.In this paper, a new method, B