Abstract

High-level security with a large keyspace and a short processing time is needed in digital image encryption. Generally, an encryption method that produces a large keyspace is characterized by a relatively slow encryption process. In this paper, we propose a new image encryption method that uses two chaotic pseudosets. A gradual deletion of the input set (GDIS) is introduced to enhance the process of chaotic permutation multicircular shrinking (CPMCS), herein referred to as GDIS CPMCS, to diffuse the image pixels and control the shift distance of the row and column rotations of an image. The proposed encryption scheme offers some advantages: it has a larger keyspace than the referenced image encryption schemes and a shorter processing time than CPMCS. The processing time of the proposed image encryption method with the GDIS CPMCS algorithm is 16.7 times faster for a gray image and 43 times faster for a color image than that in our previous work. Based on histogram and entropy analyses, the proposed scheme is also robust to statistical analysis. Moreover, the ciphered image has a very high degree of randomness according to the National Institute of Standards and Technology (NIST) randomness test results. In terms of differential analysis, a one-bit change in the original image leads to a substantial change in the ciphered image, as indicated by the unified average change intensity (UACI) and number of pixel change rate (NPCR) scores of 33.45% and 99.61%, respectively. Furthermore, GDIS CPMCS is robust to salt-and-pepper, Poisson, Gaussian, and speckle noise, with peak signal-to-noise ratios (PSNRs) higher than 14. The scheme is also robust to data loss since a reconstructed image with 50% data loss can be recognized, as indicated by a PSNR of 11.4.

Highlights

  • In recent years, the Internet of Things (IoT) and machine to machine (M2M) technologies have been widely used by various groups [1], [2]

  • We present an image encryption scheme based on chaotic permutation multicircular shrinking (CPMCS) with the gradual deletion of the input set (GDIS CPMCS)

  • This paper proposes GDIS CPMCS, which involves the gradual deletion of the input set

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Summary

INTRODUCTION

The Internet of Things (IoT) and machine to machine (M2M) technologies have been widely used by various groups [1], [2]. To develop an encryption image that has a high level of security with a large keyspace, Wang and Zhang [21] implemented an expanded XOR operation, heterogeneous permutation bits, and a chaotic WPLCW method. Wang et al [28] encrypted an image by modifying the cat map through a nonstatic random expansion technique to permute the image and diffused the result with the combination of one tent map and a logistic map These encryption methods have a significant keyspace of greater than 256 bits, but the processing speed is relatively slow. We seek to add robustness to noise as an image encryption feature To satisfy this objective, Liu and Wang [29] combined robust chaotic maps and one-time keys.

CHAOTIC PERMUTATION MULTICIRCULAR
STATISTICAL AND ROBUSTNESS ANALYSES
VISUALIZATION AND HISTOGRAM ANALYSIS
ENTROPY AND THE NIST RANDOMNESS TEST
KEY SENSITIVITY ANALYSIS
CONCLUSION
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