Novel image encryption method of compressed sensing and chaotic system based on deep learning

A technology of chaotic systems and compressed sensing, applied in neural learning methods, secure communication through chaotic signals, encryption devices with shift registers/memory, etc., can solve the problem that intruders cannot access the original information, and achieve improved chosen plaintext attacks The ability, fast reconstruction speed, and the effect of reducing time complexity and space complexity

Pending Publication Date: 2022-01-25
CHONGQING UNIV OF POSTS & TELECOMM
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  • Description
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  • Application Information

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Problems solved by technology

[0003] In encryption, raw data is transformed in such a way that intruders cannot access the original information

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  • Novel image encryption method of compressed sensing and chaotic system based on deep learning
  • Novel image encryption method of compressed sensing and chaotic system based on deep learning
  • Novel image encryption method of compressed sensing and chaotic system based on deep learning

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Embodiment Construction

[0085] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic concept of the present invention, and the following embodiments and the features in the embodiments can be combined with each other in the case of no conflict.

[0086] Wherein, the accompanying drawings are for illustrative purposes only, and represent only schematic diagrams, rather than physical drawings, and should...

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Abstract

The invention relates to a novel image encryption method of a compressed sensing and chaotic system based on deep learning, and belongs to the field of image encryption, and the method comprises the following steps: S1, setting trainable parameters in an AMP-Net deep expansion model before training, and setting four-dimensional hyperchaotic system parameters; S2, segmenting an original image X into a series of non-overlapping image blocks by using a segmentation function in the sampling model, then performing vectorization operation on each image block through a vectorization function, and then performing sampling compression on the image by using a sampling matrix A; S3, performing row scrambling and column scrambling on the measured value Y based on a chaotic sequence generated by a chaotic system and an external key; S4, performing diffusion operation on a measurement value Y'obtained after scrambling operation and a chaos sequence; S5, image decryption: decrypting the encrypted image according to inverse operations of diffusion and scrambling; and S6, designing an image reconstruction model which comprises an initialization module and a reconstruction module.

Description

technical field [0001] The invention belongs to the field of image encryption, and relates to a novel image encryption method based on deep learning compressed sensing and chaotic system. Background technique [0002] With the development of the Internet and its related technologies, big data has become more and more widely used in various industries such as banking, medical care, energy, technology, consumption and manufacturing. Due to the wide application of big data in various businesses, two existing challenges related to big data are very important, namely, efficient data sharing and data privacy security. Possible solutions to the above challenges include compressed sensing (CS) and raw message encryption. In CS techniques, a signal is compressed in its original domain or in some transformed domain for efficient bandwidth utilization. CS can also be defined as a measurement technique that reconstructs images and signals from extremely small amounts of data measureme...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N1/44H04L9/06H04L9/00G06N3/04G06N3/08
CPCH04N1/4486H04L9/0643H04L9/001G06N3/08G06N3/045
Inventor 罗文俊戴泽森赖碟
Owner CHONGQING UNIV OF POSTS & TELECOMM
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