A chaos-based image encryption algorithm based on multiresolution singular value decomposition and a symmetric attractor

Musanna, Farhan; Dangwal, Deepak; Kumar, Sanjeev; Malik, Varun

doi:10.1080/13682199.2020.1732116

Cited by 14 publications

(3 citation statements)

References 38 publications

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“…The general multi-dimensional system has a wider chaotic range and better ergodicity because of its more parameters, and its structure is complex, so it is widely used in image encryption [25][26][27][28][29][30][31]. However, its hardware implementation is difficult, while one-dimensional chaotic map hardware is relatively easy to implement.…”

Section: Introductionmentioning

confidence: 99%

Chaotic image encryption based on spiral traversal and finite field bidirectional diffusion

Huang¹,

Chai²,

Xiang³

et al. 2023

Phys. Scr.

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In this paper, a new sinusoidal cascade chaotic map model is proposed, which constructs chaotic system by sinusoidal cascade of two identical 1D chaotic maps. The simulation results show that the proposed sinusoidal cascade chaotic mapping model can generate 1D chaotic system with wider parameter range and wider chaotic region. To verify its application in image encryption, a chaotic image encryption algorithm based on spiral traversal and finite field bidirectional diffusion is proposed. The pseudo-random sequences generated by three kinds of 1D chaotic maps improved by the sinusoidal cascade chaotic map model are used as the ciphers of the cryptosystem. Among them, SHA-256, SHA-512 and plaintext image are combined to generate the initial value of the system. The experimental results and security analysis show that the encryption algorithm designed in this paper can effectively resist exhaustive attack, differential attack, noise attack and so on, and has superior performance in encryption speed and security.

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Section: Introductionmentioning

confidence: 99%

Chaotic image encryption based on spiral traversal and finite field bidirectional diffusion

Huang¹,

Chai²,

Xiang³

et al. 2023

Phys. Scr.

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“…Chai et al [ 19 ] proposed an image compression and encryption scheme by combining a parameter-varying chaotic system, elementary cellular automata (ECA), and block compressive sensing (BCS). Musanna et al proposed a secure image encryption using multi-chaotic maps and multi-resolution singular value decomposition (MR-SVD) for secure image encryption [ 20 ].…”

Section: Introductionmentioning

confidence: 99%

Multi-Chaos-Based Lightweight Image Encryption-Compression for Secure Occupancy Monitoring

Ghadi

Alsuhibany

Ahmad

et al. 2022

Journal of Healthcare Engineering

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With the advancement of camera and wireless technologies, surveillance camera-based occupancy has received ample attention from the research community. However, camera-based occupancy monitoring and wireless channels, especially Wi-Fi hotspot, pose serious privacy concerns and cybersecurity threats. Eavesdroppers can easily access confidential multimedia information and the privacy of individuals can be compromised. As a solution, novel encryption techniques for the multimedia data concealing have been proposed by the cryptographers. Due to the bandwidth limitations and computational complexity, traditional encryption methods are not applicable to multimedia data. In traditional encryption methods such as Advanced Encryption Standard (AES) and Data Encryption Standard (DES), once multimedia data are compressed during encryption, correct decryption is a challenging task. In order to utilize the available bandwidth in an efficient way, a novel secure video occupancy monitoring method in conjunction with encryption-compression has been developed and reported in this paper. The interesting properties of Chebyshev map, intertwining map, logistic map, and orthogonal matrix are exploited during block permutation, substitution, and diffusion processes, respectively. Real-time simulation and performance results of the proposed system show that the proposed scheme is highly sensitive to the initial seed parameters. In comparison to other traditional schemes, the proposed encryption system is secure, efficient, and robust for data encryption. Security parameters such as correlation coefficient, entropy, contrast, energy, and higher key space prove the robustness and efficiency of the proposed solution.

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“…However, the convenience also threatens the security of cyberspace [5][6][7][8]. In particular, as a significant transmission medium, digital images may include a lot of personal privacy, confidential information and other important data, so their privacy protection gets more attention [9][10][11][12]. Encryption technology is a common means to assure the security of digital images, and has been widely used in various fields of digital image security [13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

A Security-Enhanced Image Communication Scheme Using Cellular Neural Network

Wen

Liao

et al. 2021

Entropy

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In the current network and big data environment, the secure transmission of digital images is facing huge challenges. The use of some methodologies in artificial intelligence to enhance its security is extremely cutting-edge and also a development trend. To this end, this paper proposes a security-enhanced image communication scheme based on cellular neural network (CNN) under cryptanalysis. First, the complex characteristics of CNN are used to create pseudorandom sequences for image encryption. Then, a plain image is sequentially confused, permuted and diffused to get the cipher image by these CNN-based sequences. Based on cryptanalysis theory, a security-enhanced algorithm structure and relevant steps are detailed. Theoretical analysis and experimental results both demonstrate its safety performance. Moreover, the structure of image cipher can effectively resist various common attacks in cryptography. Therefore, the image communication scheme based on CNN proposed in this paper is a competitive security technology method.

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A chaos-based image encryption algorithm based on multiresolution singular value decomposition and a symmetric attractor

Cited by 14 publications

References 38 publications

Chaotic image encryption based on spiral traversal and finite field bidirectional diffusion

Chaotic image encryption based on spiral traversal and finite field bidirectional diffusion

Multi-Chaos-Based Lightweight Image Encryption-Compression for Secure Occupancy Monitoring

A Security-Enhanced Image Communication Scheme Using Cellular Neural Network

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