Research on RGBA Image Visualization Method for Malicious Code
With the development of network scale,there is an increasing demand for variant detection and family classification of malicious code.Therefore,various methods of visualizing malicious code into grayscale images for classification have emerged.However,the current visualization methods use relatively single features and grayscale images can accommodate too little feature and information.This article addresses the issues of insufficient features and insufficient information content in the current methods for visualizing malicious code into grayscale images.It proposes to use RGBA mode color images to store and fuse multiple extracted features,and improve existing visualization methods to meet the classification requirements of malicious code.
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