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designing a 2d infinite collapse map for image encryption

SIGNAL PROCESSING 2020年 171卷 107457-107457页

作者： Cao, Weijia Mao, Yujun Zhou, Yicong Chinese Acad Sci Aerosp Informat Res Inst Beijing Peoples R China Univ Macau Dept Comp & Informat Sci Macau Peoples R China

due to the unpredictability and complexity properties, chaotic maps are widely applied in security, communication, and system control. Existing one-dimensional (1d) chaotic maps can be easily predicted and high-dimensional (Hd) ones have more complex structures and higher computation costs. In order to enhance the chaotic performance, this paper proposes a new two-dimensional infinite collapse map (2d-ICM). Compared with existing 2d chaotic maps, 2d-ICM has better ergodicity, hyperchaotic property, unpredictability, and a wider chaotic region. To investigate its application, we further propose an image encryption algorithm using 2d-ICM. Simulation demonstrates that the proposed image encryption algorithm has excellent performance for protecting various kinds of images. (C) 2020 Elsevier B.V. All rights reserved.

关键词： 2d infinite collapse map confusion and diffusion Image encryption

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Image encryption algorithm combining semi-tensor product compressed sensing and double random-phase encoding

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PHYSICA SCRIPTA 2025年第2期100卷 025118-025118页

作者： Fu, Jianzhao Guo, Peilian Shandong Normal Univ Sch Informat Sci & Engn 1 Daxue Rd Jinan 250358 Peoples R China

By combining semi-tensor product compressed sensing (STP-CS) and double random-phase encoding (dRPE) technology, this paper proposes an optical image encryption scheme with information authentication ability. Firstly, the phase information of the plaintext image is extracted by dRPE and quantized to generate the authentication information. Secondly, to compress the storage space and to realize the multiplication of different dimensional matrices, STP-CS is used to compress the plaintext image, and then the measurements are quantized by sigmoid map, and the quantized measurements are embedded into the authentication message. Finally, a random key stream is generated using a 2d infinite collapse map (2d-ICM) to generate chaotic sequences, and the embedding result is used to generate a ciphertext image by the permutation and XOR diffusion method. The receiver side can perform blind authentication of the ciphertext image during the inverse operation using a nonlinear cross-correlation method. The evaluation results indicate that our encryption scheme is more secure and effective.

关键词： double random-phase encoding 2d infinite collapse map semi-tensor product compressed sensing image encryption

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A Joint Encryption and Compression Algorithm for Multiband Remote Sensing Image Transmission

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SENSORS 2023年第17期23卷 7600-7600页

作者： Cao, Weijia Leng, Xiaoran Yu, Tao Gu, Xingfa Liu, Qiyue Chinese Acad Sci Aerosp Informat Res Inst Beijing 100094 Peoples R China North China Inst Aerosp Engn Sch Remote Sensing & Informat Engn Langfang 065000 Peoples R China

due to the increasing capabilities of cybercriminals and the vast quantity of sensitive data, it is necessary to protect remote sensing images during data transmission with "Belt and Road" countries. Joint image compression and encryption techniques exhibit reliability and cost-effectiveness for data transmission. However, the existing methods for multiband remote sensing images have limitations, such as extensive preprocessing times, incompatibility with multiple bands, and insufficient security. To address the aforementioned issues, we propose a joint encryption and compression algorithm (JECA) for multiband remote sensing images, including a preprocessing encryption stage, crypto-compression stage, and decoding stage. In the first stage, multiple bands from an input image can be spliced together in order from left to right to generate a grayscale image, which is then scrambled at the block level by a chaotic system. In the second stage, we encrypt the dC coefficient and AC coefficient. In the final stage, we first decrypt the dC coefficient and AC coefficient, and then restore the out-of-order block through the chaotic system to get the correct grayscale image. Finally, we postprocess the grayscale image and reconstruct it into a remote sensing image. The experimental results show that JECA can reduce the preprocessing time of the sender by 50% compared to existing joint encryption and compression methods. It is also compatible with multiband remote sensing images. Furthermore, JECA improves security while maintaining the same compression ratio as existing methods, especially in terms of visual security and key sensitivity.

关键词： remote sensing image transmission image encryption JPEG 2d infinite collapse map encryption-then-compression system

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