Article
Computer Science, Information Systems
Jan Sher Khan, Sema Koc Kayhan
Summary: The paper introduces a novel chaos and compressive sensing based image encryption algorithm to enhance resistance against Chosen-Plaintext Attacks, using compression, confusion, and diffusion techniques along with random matrix and chaotic maps for improved security. Experimental results confirm the reliability and robustness of the proposed scheme.
JOURNAL OF INFORMATION SECURITY AND APPLICATIONS
(2021)
Article
Computer Science, Information Systems
A. Hadj Brahim, A. Ali Pacha, N. Hadj Said
Summary: In this paper, a new image compression-encryption scheme based on compressive sensing and the AES-128 algorithm is proposed. The scheme enhances the compression performance by permuting the sparse coefficients and using a measurement matrix generated by a 6D hyperchaotic system. The proposed algorithm achieves good security performance and compression performance compared to existing algorithms.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Mingxu Wang, Xingyuan Wang, Chunpeng Wang, Zhiqiu Xia, Shuang Zhou
Summary: In this study, a 2D cross coupled map lattice (2D-CCML) model with large key spaces is constructed for image compression and encryption, which exhibits better cryptographic features in dynamics than the traditional cross coupled map lattice (CCML) system. Furthermore, an image compression-then-encryption scheme is presented by combining the 2D-CCML model and compressive sensing (CS), where image compression is performed by CS and image encryption is based on the 2D-CCML. The proposed 2D-CCML model is also utilized to generate a measurement matrix for use in CS. Moreover, the key stream used in the algorithm and the 2D-CCML model is based on the hash values calculated with the SHA-512 hash function and plain images. Reasonable chaotic behaviors of the 2D-CCML model in terms of its image encryption effect, compression capability, and high security are experimentally demonstrated.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Donghua Jiang, Lidong Liu, Liya Zhu, Xingyuan Wang, Xianwei Rong, Hongxiang Chai
Summary: This paper proposes a novel image encryption and embedding algorithm by combining multiple techniques to achieve visually secure image encryption. By optimizing the processing of sparse matrices and embedding methods, high-quality cipher images are obtained.
Article
Optics
Mehmet Demirtas
Summary: This paper presents a new RGB color image encryption algorithm, which uses a hyperchaotic two-dimensional logistic-sine-coupling map for pixel and bit scrambling, and diffusion stages. Experimental analyses and comparisons demonstrate the method's effectiveness in encrypting color images.
Article
Computer Science, Information Systems
JinLong Liu, Miao Zhang, Xiaojun Tong, Zhu Wang
Summary: This paper proposes an image compression-encryption scheme based on 2D compressive sensing and hyperchaotic system, which achieves better execution efficiency and image reconstruction quality by constructing a complex hyperchaotic system and using two-dimensional compressive sensing. Additionally, the encryption security is enhanced by using the multiplicative inverse operation in the finite domain.
MULTIMEDIA SYSTEMS
(2022)
Article
Computer Science, Information Systems
Zhanwei Yuan, Shufeng Huang, Linqing Huang, Yuxiao Du, Shuting Cai, Xiaoming Xiong
Summary: In this paper, a content-adaptive visual image encryption scheme based on PWLCM, CS, and SafeLBP is proposed. The scheme achieves image encryption through sparse transform, encryption compression, and LSB embedding. Experimental results demonstrate that the proposed scheme has excellent visual security and decryption quality, as well as strong robustness against noise and data loss.
JOURNAL OF INFORMATION SECURITY AND APPLICATIONS
(2023)
Article
Chemistry, Analytical
Zhen Li, Changgen Peng, Weijie Tan, Liangrong Li
Summary: With the development of mobile communication networks, security and privacy of digital images have become crucial, especially with the advent of 5G and future 6G technologies. This proposed scheme combines compressive sensing for efficient and secure plaintext-related chaotic image encryption, achieving both compression and encryption simultaneously. The scheme involves generating internal keys, utilizing discrete wavelets transform, permutation processing controlled by 2D-SLIM, and compressive sensing using a measurement matrix generated by 2D-SLIM, resulting in excellent security and compression performance for digital image applications in networks.
Article
Computer Science, Information Systems
Liya Zhu, Donghua Jiang, Jiangqun Ni, Xingyuan Wang, Xianwei Rong, Musheer Ahmad
Summary: This paper proposes a visually secure image encryption scheme based on the adaptive-thresholding sparsification compression sensing model and a newly designed memristive chaotic map. The scheme achieves secure and reversible image encryption through steps such as sparse representation, scrambling and compression, encryption, and embedding. Additionally, a low-dimensional chaotic map is designed to improve execution efficiency, and an adaptive threshold model is utilized to enhance compression performance.
INFORMATION SCIENCES
(2022)
Article
Computer Science, Information Systems
JinLong Liu, Miao Zhang, Xiaojun Tong, Zhu Wang
Summary: A novel 5D chaotic system is proposed to optimize compressive sensing algorithm for enhancing image reconstruction quality and encryption security. Simulation results demonstrate the advantages of the proposed algorithm in various aspects.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Article
Optics
Zhuozhao Chen, Guodong Ye
Summary: In this study, an asymmetric image encryption algorithm based on SHA-3 and compressive sensing is proposed to prevent unauthorized access and ensure secure communication. The algorithm involves generating random matrices, calculating hash values, using RSA algorithm, and utilizing chaotic sequences and discrete wavelet transform for compression and confusion. Experimental results verify the effectiveness of the proposed scheme in reconstructing the plain image with high quality.
Article
Computer Science, Artificial Intelligence
Dongming Huo, Yueyou Qiu, Chao Han, Lisheng Wei, Yao Hong, Zhilong Zhu, Xin Zhou
Summary: A visually meaningful double-image encryption scheme is proposed based on 2D compressive sensing and multi-rule DNA encoding. The plain images are first processed through scrambling, diffusing, and 2D compressive sensing to obtain privacy images, which are then re-encrypted using DNA encoding theory to obtain secret images. The secret images are embedded into carrier image wavelet coefficients, and the obtained result is processed to obtain a visually meaningful encrypted image. The scheme utilizes 2D compressive sensing to reduce data size and DNA encoding theory to enhance security.
COMPLEX & INTELLIGENT SYSTEMS
(2023)
Article
Mathematics, Applied
Qiang Lai, Genwen Hu, Ugur Erkan, Abdurrahim Toktas
Summary: This paper proposes a new medical image encryption scheme based on a new hyperchaotic map. The scheme demonstrates excellent security and efficiency, suitable for medical images with distinctive formats. A two-dimensional Logistic-Gaussian hyperchaotic map (2D-LGHM) is constructed, which exhibits superior ergodicity and unpredictability. The scheme utilizes chaotic sequences to break correlation between pixels and modify global pixel values. Tests on diverse medical images show that the scheme is highly robust and effective against security attacks and data loss.
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
Computer Science, Hardware & Architecture
A. Hadj Brahim, A. Ali Pacha, N. Hadj Said
Summary: This paper proposes a new fast image compression-encryption scheme based on compressive sensing and parallel blocks. The proposed algorithm divides the plain image into blocks and encrypts them in parallel, using techniques such as discrete wavelet transform, permutation, and compressive sensing. The results show that the algorithm achieves both security and compression performance with low time complexity.
JOURNAL OF SUPERCOMPUTING
(2023)
Article
Multidisciplinary Sciences
Dongming Huo, Zhilong Zhu, Xin Zhou, Lisheng Wei, Xing Bai, Yanzhi Bai, Chao Han
Summary: This paper proposes a flexible visually secure multi-image compression, encryption, and hiding scheme based on two-dimensional compressive sensing (2DCS). It can flexibly complete the compression and encryption of multiple plain images without increasing the amount of ciphertext data. The scheme involves randomly scrambling and non-linear gray value transformation of the plain image, compressing the pre-encrypted integer matrix using 2DCS to obtain the secret image, and embedding multiple secret images into the quantized coefficient matrix of the host image to obtain the visually meaningful cipher image.
