Dual Image Encryption Method Based on Dynamic Adaptive Diffusion of Convolutional Neural Network

Abstract

A dual-image encryption method based on convolutional neural network dynamic self-adaptive diffusion, involving the field of dual-image encryption technology, solves the problems of insufficient key space and insufficient randomness in existing dual-image encryption methods, and cannot effectively resist known plaintext To attack and select plaintext attack security defects, the present invention uses the L_Con obtained after a series of transformations of the random sequence generated by the 5D conservative chaotic system as the convolution kernel of the convolutional neural network to obtain plaintext-related coordinate pairs. By dividing the two plaintext images into 8-bit binary forms, combining the high 4 bits and low 4 bits respectively, and then scrambling the two images by the coordinates related to the plaintext, and finally using the dynamic adaptive diffusion method to further scramble the image pixels. The 5D conservative chaotic system has better pseudo-random characteristics, larger key space, stronger sensitivity, stronger ability to resist various security attacks, therefore, has more stable chaotic characteristics, and resists reconstruction attacks Wait.

Description

technical field [0001] The invention relates to the technical field of double image encryption, in particular to a dynamic adaptive diffusion double image encryption and decryption method based on a convolutional neural network and a bitwise fusion image. Background technique [0002] In recent years, the rapid development of information technology and telecommunication networks has led to an increase in the transmission of digital information from images to audio and video files. Therefore, researchers have conducted extensive research to maintain the security of this data and protect it from unauthorized users. Encryption is a way to achieve high security. At the same time, due to its wide range of applications, including military, medical, etc., encryption technology has become one of the most widely used and active fields. Image data has its unique characteristics (large volume, high correlation between pixels and high compression ability) that make it difficult and sl...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a convolutional neural network-based Dynamic Adaptive Diffusion Double Image Encryption and Decryption Method

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