Meaningful Encryption: Generating Visually Meaningful Encrypted Images by Compressive Sensing and Reversible Color Transformation

Jie Fu,Ping Ping,Jerry Gao,Feng Xu,Yingchi Mao

doi:10.1109/access.2019.2955570

Jie Fu, Ping Ping + Show 3 more

Open Access

https://doi.org/10.1109/access.2019.2955570

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Journal: IEEE Access	Publication Date: Jan 1, 2019
Citations: 33	License type: CC BY 4.0

Affiliation: Hohai University, San Jose State University

Abstract

Recently, compressive sensing (CS) and visual security (VS) have caught researchers attention in information security field. However, the measurement matrix is often reused in CS, which makes it vulnerable to chosen plaintext attack (CPA). In addition, when generating meaningful cipher images, the size of the carrier image is usually not less than the size of the plain image. In order to overcome these drawbacks, a new visually secure image encryption scheme using CS and reversible color transformation is proposed. The algorithm consists of two stages: compression and embedding. In the first stage, chaotic sequence is used to generate different structurally random matrices. When CS is performed, a random number is added during the process of sampling. By choosing different random numbers, different measurement matrices can be used to compress and encrypt the same image in different order. In the second stage, block pairing, color transformation and block replacement are employed to obtain a meaningful image. Different from the block replacement between two similar images, this paper first attempts to replace the block of the carrier image with a compressed noise-like image block. Thus, the carrier image can be smaller than the plain image, which saves the bandwidth of transmission. Both theoretical analysis and experimental results show that the proposed encryption scheme has good encryption performance, can effectively resist common attacks, and is suitable for meaningful image encryption.

Highlights

In recent years, with the development of Internet technology and the advent of 5G era, a surging number of people use digital images to communicate on the Internet
According to the representation of the encrypted image, image secure schemes can be divided into two categories: one is that the plain image is transformed into a noiselike or texture-like cipher image after applying encryption algorithms and the attackers cannot obtain the original image without the secret key; the other is that the plain image is secretly embedded in another meaningful image by some technologies and the attacker cannot figure out what the source image looks like
In order to reduce the size of carrier image and avoid reusing the same measurement matrix, a new visually secure scheme based on compressive sensing and reversible color transformation is proposed in this paper

Summary

INTRODUCTION

With the development of Internet technology and the advent of 5G era, a surging number of people use digital images to communicate on the Internet. In order to reduce the size of carrier image and avoid reusing the same measurement matrix, a new visually secure scheme based on compressive sensing and reversible color transformation is proposed in this paper. In the compressive sensing stage, a random number is added so that different measurement matrices can be used to encrypt the same image in different order to obtain different results It can resist the chosen plaintext attack. The plain image is permutated with the 2D-LASM chaotic sequence, and the Structurally Random Matrix for compressive sensing is constructed by the chaotic sequence generated by the 3D cat map. The secret image obtained in the first stage is embedded into the carrier image, and at the same time, the order of the embedding position is encrypted by the 2D-LASM chaotic sequence so as to further improve the security of the scheme.

THE ENCRYPTION ALGORITHM

SIMULATION RESULTS

KEY SPACE

TIME COMPLEXITY ANALYSIS