An image encryption scheme based on multi-objective optimization and block compressed sensing

A fast image encryption algorithm based on parallel compressive sensing and DNA sequence

This paper combines a four-dimensional chaotic system with DNA technology to design a color image encryption algorithm. The algorithm converts each pixel value into two 4-bit binary for WSSM scrambling. The proposed 4D chaotic system is used to generate four chaotic sequences to determine the rules of DNA encoding, decoding and calculation. Finally, the three matrices of R, G, and B are divided into blocks and scrambled. Security analysis is carried out, including histogram, key sensitivity, entropy, correlation, anti-differential attack, anti-noise attack, occlusion attack and other aspects. All experimental results show that the proposed image encryption algorithm can effectively resist various attacks. 

Chaotic color image encryption based on 4D chaotic maps and DNA sequence

In this paper, an efficient and adjustable visual image encryption scheme is proposed by combining a 6D hyperchaotic system, compressive sensing, and Bezier curve embedding. First, the plain image is sparse by discrete wavelet transform (DWT). Then, the sparse image is encrypted and compressed through game-of-life (GOL) hybrid scrambling and compressive sensing into a cipher image. Next, Bezier curve embedding is utilized to embed the cipher image into the carrier image in wavelet domain. After these operations, the final visually meaningful steganographic image is generated. Additionally, the frequency-domain information of the plain image is used to generate the initial values of the 6D hyperchaotic system in scrambling process, which makes the proposed encryption scheme able to effectively resist the chosen-plaintext attacks (CPA) and the known-plaintext attacks (KPA). Moreover, our scheme exhibits excellent adjustable performance compared with existing related schemes. Ultimately, simulation results and comprehensive performance analyses demonstrate that the scheme proposed in this paper has high decryption quality, visual security, robustness, and operating efficiency.

Yanpei Li

Papers

Chaotic image encryption algorithm based on hybrid multi-objective particle swarm optimization and DNA sequence