An Image Encryption Algorithm Based on Compressive Sensing and M Sequence

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.

Abstract licence: CC BY-NC-ND

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