A chaotic hierarchical encryption/watermark embedding scheme for multi-medical images based on row–column confusion and closed-loop bi-directional diffusion

Abstract

Security during remote transmission has been an important concern for researchers in recent years. In this paper, a hierarchical encryption multi-image encryption scheme for people with different security levels is designed, and a multi-image encryption (MIE) algorithm with row and column confusion and closed-loop bi-directional diffusion is adopted in the paper. While ensuring secure communication of medical image information, people with different security levels have different levels of decryption keys, and differentiated visual effects can be obtained by using the strong sensitivity of chaotic keys. The highest security level can obtain decrypted images without watermarks, and at the same time, patient information and copyright attribution can be verified by obtaining watermark images. The experimental results show that the scheme is sufficiently secure as a MIE scheme with visualized differences and the encryption and decryption efficiency is significantly improved compared to other works.

Novel self-embedding holographic watermarking image encryption protection scheme

“…[9][10][11][12][13][14] Considering that traditional encryption methods (such as AES and DES) have been unable to improve the security of digital image transmission, [15][16][17] scholars tend to introduce more technologies in the field of image encryption, and chaos theory is one of them. [18][19][20]57] A chaotic system has the advantages of initial value sensitivity, unpredictability and so on, which can provide enough support for the application of cryptography. [21][22][23] In this paper, a fivedimensional fractional chaotic system is designed with memcapacitor and meminductor.…”

Dynamical analysis of a new memristive map with offset boosting and extreme multistability

“…In recent years, chaotic systems have received much attention in the fields of communication encryption [22][23][24][25][26], and control optimization [27][28][29], due to the highly complex and unpredictable motion trajectories [30][31][32][33]. Among them, chaotic maps attract the interest of researchers due to the advantages of antijamming, easy numerical simulation, and implementation [34][35][36][37].…”

Dynamical analysis of a discrete Aihara neuron under a locally active memristor as electromagnetic radiation and its DSP implementation

“…Many types of neuron and neural network models have been put forward and researched [16][17][18][19][20]. Chaotic maps exhibiting various dynamical behaviors can be applied to image encryption [21][22][23]. Some neuron and neural network models are also applicable to image encryption [24][25][26][27].…”