A secure image compression-encryption algorithm using DCT and hyperchaotic system

Providing security in the transmission of images and other multimedia data has become one of the most important scientific and practical issues. In this paper, a method for compressing and encryption images is proposed, which can safely transmit images in low-bandwidth data transmission channels. At first, using the autoencoding generative adversarial network (AEGAN) model, the images are mapped to a vector in the latent space with low dimensions. In the next step, the obtained vector is encrypted using public key encryption methods. In the proposed method, Henon chaotic map is used for permutation, which makes information transfer more secure. To evaluate the results of the proposed scheme, three criteria SSIM, PSNR, and execution time have been used.

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“…Huang and Cheng [7] proposed a method that utilized a hyperchaotic system (HCS) and discrete cosine transform (DCT). Their scheme had two stages.…”

Section: Related Workmentioning

confidence: 99%

A New Scheme for Image Compression and Encryption Using ECIES, Henon Map, and AEGAN

Shariatzadeh

Eftekhari

Rostami

2023

Preprint

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“…Chaos map based methods [2], [3], [4], [5], DNA sequence [6], automata [7], Quantum cryptography [8], Optical encryption [9], [10], Affine, Fractional Random Transform, Fast Fourier Transform [11], [12], [13] and Compressive sensing [14], [15] are only a few examples of the many image encryption and compression approaches that make use of cryptographic properties. Nevertheless, encryption alone is not adequate to fulfill the current requirement for safer communication and little storage space.…”

Section: Introductionmentioning

confidence: 99%

IoT-Based Multi-Dimensional Chaos Mapping System for Secure and Fast Transmission of Visual Data in Smart Cities

Ahuja,

Doriya,

Salunke

et al. 2023

IEEE Access

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A ''smart city'' sends data from many sensors to a cloud server for local authorities and the public to connect. Smart city residents communicate mostly through images and videos. Many image security algorithms have been proposed to improve locals' lives, but a high-class redundancy method with a small space requirement is still needed to acquire and protect this sensitive data. This paper proposes an IoT-based multi-dimensional chaos mapping system for secure and fast transmission of visual data in smart cities, which uses the five dimensional Gauss Sine Logistic system to generate hyper-chaotic sequences to encrypt images. The proposed method also uses pixel position permutation and Singular Value Decomposition with Discrete fractional cosine transform to compress and protect the sensitive image data. To increase security, we use a chaotic system to construct the chaotic sequences and a diffusion matrix. Furthermore, numerical simulation results and theoretical evaluations validate the suggested scheme's security and efficacy after compression encryption.

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“…For example, Reference [ 8,9,11,12,13,32 ] proposed some algorithms for combining DNA chaotic systems to protect image information. Reference [6] proposed algorithms for the joint encryption and compression of discrete cosine transform and hyperchaotic methods. Authority [7] proposed an algorithm for image encryption using DCT frequency domain compression coding and chaotic high-quality recovery; experimental results show the characteristics of the algorithm, such as ample critical space, strong plaintext sensitivity, and good decryption.…”

Section: Introductionmentioning

confidence: 99%

Research on Chaotic Image Encryption Method Based on Three Dimensional Linear Function

Zeng

Wang

et al. 2022

Preprint

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Image as an essential carrier of data transmission, more and more people pay attention to its security. Although researchers have developed many encryption methods to enhance image transmission security, some have problems such as poor security, long-time complexity, and complicated algorithms. Therefore, this paper proposes a simple and secure encryption method. This method mainly combines chaotic systems with a three-dimensional(3D) linear function iterative system to encrypt images. First, a new chaotic system of 3D linear function iterations is constructed. Then, multiple 3D linear function iterative systems are invoked according to the sequences generated by the disorganized system iteration; finally, the chaotic lines generated by the 3D linear function iteration are operated with color images and gray images, respectively, by dissimilarity. The experimental results show that the scheme has a simple and efficient, low computational cost, good encryption effect, difficult to decipher, and strong key sensitivity encryption effect.

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A secure image compression-encryption algorithm using DCT and hyperchaotic system

Cited by 7 publications

References 40 publications

A New Scheme for Image Compression and Encryption Using ECIES, Henon Map, and AEGAN

A New Scheme for Image Compression and Encryption Using ECIES, Henon Map, and AEGAN

IoT-Based Multi-Dimensional Chaos Mapping System for Secure and Fast Transmission of Visual Data in Smart Cities

Research on Chaotic Image Encryption Method Based on Three Dimensional Linear Function

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