Image Steganography Analysis Based on Deep Learning

Received: 10 February 2020 Accepted: 16 March 2020 Despite the fact that steganalysis has grown quickly lately, it despite everything faces numerous troubles and difficulties. This paper proposed a steganalysis based on deep learning technique. The convolutional neural network method is used for steganalysis approach. The steganalysis approach utilizes the deep features extracted from the stego image. The approach uses global information for feature learning. The steganalysis is used to recognize the various kinds of steganalysis calculations. This paper also proposed a steganalysis based on low embedding rate images and multi-class steganography. The study on image steganogrphy using deep learning is discussed with their pros and cons.

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