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 become one of the research priorities.In this paper, a new method, BIR-CNN, is proposed to cla

The planetary ionospheric storm index, Wp, is deduced from the numerical global ionospheric GPS-IONEX maps of the vertical total electron content, TEC, for more than half a solar cycle, 1999–2008.The TEC values are extracted from the 600 grid points of the map at latitudes 60° N to 60° S with a step of 5° and longitudes 0° hou