Abstract

In this article, a new image encryption algorithm based on compressive sensing (CS) and M sequence is proposed to decrease the image communication load and improve the security of image communication in the internet of things. Most of the available image encryption schemes are based on chaotic systems to shuffle the image pixels. Before shuffling the image pixels, the random sequence, which is produced by a chaotic system, need to be sorted. This sorting operation is avoided by utilizing a modified linear feedback shift register (LFSR) state sequence. Then, the security of the proposed scheme is improved by combining CS with an improved 1D chaotic system, which is used to construct a measurement matrix. The computational complexity is reduced by the use of the improved 1D chaotic system. Simultaneously, the amount of image data is reduced. Simulation results and performance analyses demonstrate that the proposed encryption scheme can greatly reduce the amount of image data and has good security and robustness.

Highlights

  • Image encryption is a critical issue for confidentiality and security

  • Step 1: The SHA-512 hash function of the plain image is generated and the secret keys are obtained according to Part A and Part B of section III Step 2: The sparse coefficients matrix α is obtained by transform the plain image I into discrete wavelet transform (DWT) domain of

  • The results show that the proposed encryption scheme is highly sensitive to a slight change of the secret keys

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Summary

INTRODUCTION

Image encryption is a critical issue for confidentiality and security. Chaotic maps have been widely used in image encryption owing to the characteristics of high sensitivity to initial conditions and control parameters in [1,2,3,4]. A novel encrypted compressive sensing of images based on fractional order hyper chaotic Chen system and DNA operation is proposed in [27] in which 4-Dimensioanal Fractional order hyper chaotic chen system is used to generate the measurement matrix. A game-of-life-based scrambling method (PDGSM) in [28] is introduced to shuffle the sparse coefficient matrix of the plain image, in which the respective permutation matrix is constructed by the rules of game of life In this encryption scheme, chaotic sequences are generated from a 5D memristive hyper chaotic system. The SHA-512 hash function value of the plain image is used to produce the control parameters of the improved 1D map and linear feedback shift register (LFSR) to increase the correlation of the proposed encryption scheme and the plain image.

M sequence
F x can‟t be divisible by xq 1 where q m
The proposed image encryption scheme
1: Input: Initial condition
PSNR and SSIM analysis
Information entropy analysis
CONCLUSION
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