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Optimal algorithm for color medical encryption and compression images based on DNA coding.and a hyperchaotic system in the moments

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ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH 2024年 50卷

作者： Bencherqui, Ahmed Tahiri, Mohamed Amine Karmouni, Hicham Alfidi, Mohammed Motahhir, Saad Abouhawwash, Mohamed Askar, S. S. Wen, Shuhuan Qjidaa, Hassan Sayyouri, Mhamed Sidi Mohamed Ben Abdellah Fez Univ Natl Sch Appl Sci Engn Syst & Applicat Lab Fes Morocco Sidi Mohamed Ben Abdellah Fez Univ Fac Sci Elect Signals & Informat Syst Lab Fes Morocco Cadi Ayyad Univ Natl Sch Appl Sci Marrakech Morocco Michigan State Univ Coll Engn Dept Computat Mat Sci & Engn CMSE E Lansing MI 48824 USA Mansoura Univ Fac Sci Dept Math Mansoura 35516 Egypt King Saud Univ Coll Sci Dept Stat & Operat Res POB 2455 Riyadh 11451 Saudi Arabia Yanshan Univ Yanshan Peoples R China

Currently, visual data security plays a significant role in various fields, especially in medical imaging. Addressing the challenges associated with limited key space and vulnerability to different types of attacks within current encryption schemes, this work proposes an optimal compression-encryption scheme for large medical images that incorporates elements of Archimedes' optimization algorithm, discrete orthogonal Hahn moments, chaotic systems, and DNA coding. The primary aim of this study is to develop an optimal and exceptionally resilient compression-encryption scheme capable of countering various attack types effectively. This approach is structured into three principal phases: a compression phase harnessing the efficiencies of Hahn's discrete orthogonal moments (HMs) in signal and image representation, coupled with the Archimedes optimization algorithm (AO) to ensure optimal tuning of polynomial parameters (a, b) for superior image reconstruction quality. The encryption phase is performed on the compressed image, using hyperchaotic memristive 4-D (HCM-4D), adapted logistics map (ALM) and DNA coding. Initially, the adapted logistics map is responsible for generating random sequences linked to the compressed image. Subsequently, chaotic sequences originating from the hyperchaotic 4D memristive system govern both random sequences and DNA processes. The optimization phase, facilitated by the AO algorithm, focuses on minimizing the value of the objective function (correlation) on the compressed and encrypted images. Ultimately, the image with the lowest correlation value is designated as the optimal compressed-encrypted representation. The simulation results clearly illustrate the resilience of the AO algorithm when juxtaposed with other optimization algorithms, especially with respect to convergence speed and computational efficiency. On the other hand, the proposed compression approach demonstrated exceptional efficiency in compressing medical images, offering

关键词： Moments image compression-encryption Chaotic system Archimedes optimization algorithm

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High-capacity separable reversible data-Hiding method in encrypted images based on block-level encryption and Huffman compression coding

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CONNECTION SCIENCE 2021年第4期33卷 975-994页

作者： Chen, Kai-Meng Chang, Chin-Chen Jimei Univ Comp Engn Coll Xiamen Peoples R China Feng Chia Univ Dept Informat Engn & Comp Sci Taichung 40724 Taiwan

Reversible data hiding in encrypted images (RDHEI) is a technology that embeds data directly in the encrypted images without decryption or knowledge of the content of the images. However, it is difficult to vacate room from the encrypted image. This problem limits the embedding capacity of the existing RDHEI methods. In this paper, we propose a new RDHEI method designed to supply large embedding capacity without pre-processing of the original images. Using a block-level encryption scheme, the proposed method partially retains the spatial correlation in the high bit-planes of the encrypted image, while the content of the image is held securely. The data hider can compress the high bit-planes of the encrypted image to vacate high-capacity room using Huffman compression coding. In addition, image recovery and data extraction are separable and error-free at the receiver side. The receiver can retrieve the lossless original image without the embedded data using only an encryption key or by extracting the secret data directly from the encrypted image without decryption using only the data-hiding key. The experimental results and comparison proved that the proposed method performs better than previous methods in terms of embedding capacity and visual quality.

关键词： Reversible data hiding image encryption Huffman compression coding

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Color image compression-encryption Using Fractional-Order Hyperchaotic System and DNA coding

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IEEE ACCESS 2020年 8卷 163524-163540页

作者： Dong, Hao Bai, Enjian Jiang, Xue-Qin Wu, Yun Donghua Univ Sch Informat Sci & Technol Shanghai 201620 Peoples R China

Recently, many encryption algorithms based on fractional-order chaotic system have been proposed to solve the problem of image encryption. In this paper, we propose a novel color image compression-encryption algorithm based on fractional-order hyperchaotic system and DNA coding. In the data compression stage, the data of R, G, and B channels of the color image are converted to the frequency domain by two-dimensional discrete cosine transform (DCT), and then the amount of encrypted data is reduced by the quantization process. We design a data processing algorithm to ensure that the data after DCT is compatible with DNA coding.data format. In the encryption stage, the processes of DNA encoding.and decoding. DNA operation, and pixel scrambling are all controlled by the corresponding chaotic sequences, which are generated by the chaotic system. The original image is used to calculate the initial state of the chaotic system, which improves the performance of the algorithm against the chosen-plaintext attack significantly. Experimental results and security analysis illustrate that the proposed algorithm has excellent compression and security performance. It can not only reconstruct the original image well under the condition of low compression ratio, but also provide high security to resist various attacks. Besides, experimental results also indicate that the algorithm proposed can be applied to the fields of color image compression, encryption, and transmission.

关键词： image coding encryption DNA Color Discrete cosine transforms Color image encryption DNA encoding fractional-order hyperchaotic system discrete cosine transform(DCT) image compression

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Joint image compression and encryption using a novel column-wise scanning and optimization algorithm

Joint image compression and encryption using a novel column-...

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International Conference on Computational Intelligence and data Science (ICCIDS)

作者： Chaudhary, Pratibha Gupta, Ritu Singh, Abhilasha Majumder, Pramathesh Pandey, Ayushi Amity Univ Uttar Pradesh Dept Informat Technol Noida 201301 Uttar Pradesh India

In this research, a joint image compression and encryption scheme is presented which works for different image dimensions 256X256, 512X512 and 1024X1024 and different image sizes. The proposed scheme is efficient as compression and encryption is done simultaneously which makes computations faster and secure at the same time. The compression scheme deployed is like JPEG compression but uses column-wise scanning and optimization instead of zigzag scanning. In entropy phase coding. Huffman coding.of JPEG compression is replaced with Arithmetic coding. image encrypted using XOR encryption is unbreakable, as used earlier in one-time pad. Compressed data is XORed with randomly generated number. The proposed scheme is implemented for grayscale images using MATLAB software version 2016a. The experimental results showed that the scheme provides good compression ratio, secures against attacks and takes less computation time. This can be further extended for RGB images of different dimension 256X256, 512X512 and 1024X1024 and different image sizes. (C) 2020 The Authors. Published by Elsevier B.V.

关键词： Column-wise scanning and optimization algorithm DCT (Discrete cosine transform) Joint compression and encryption JPEG compression Quantization XOR encryption

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Joint image compression and encryption using a novel column-wise scanning and optimization algorithm

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Procedia Computer Science 2020年 167卷 244-253页

作者： Pratibha Chaudhary Ritu Gupta Abhilasha Singh Pramathesh Majumder Ayushi Pandey

关键词： Column-wise scanning optimization algorithm DCT (Discrete cosine transform) Joint compression encryption JPEG compression Quantization XOR encryption

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Secure OMP Computation Maintaining Sparse Representations and Its Application to EtC Systems

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IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS 2020年第9期E103D卷 1988-1997页

作者： Nakachi, Takayuki Kiya, Hitoshi NTT Corp NTT Network Innovat Labs Yokosuka Kanagawa 2390847 Japan Tokyo Metropolitan Univ Hino Tokyo 1910065 Japan

In this paper, we propose a secure computation of sparse coding.and its application to encryption-then-compression (EtC) systems. The proposed scheme introduces secure sparse coding.that allows computation of an Orthogonal Matching Pursuit (OMP) algorithm in an encrypted domain. We prove theoretically that the proposed method estimates exactly the same sparse representations that the OMP algorithm for non-encrypted computation does. This means that there is no degradation of the sparse representation performance. Furthermore, the proposed method can control the sparsity without decoding.the encrypted signals. Next, we propose an EtC system based on the secure sparse coding. The proposed secure EtC system can protect the private information of the original image contents while performing image compression. It provides the same rate-distortion performance as that of sparse coding.without encryption, as demonstrated on both synthetic data and natural images.

关键词： sparse coding orthogonal matching pursuit (OMP) random unitary transform secure computation encryption-then-compression (EtC)

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Secure Reversible Information Hiding in image Based on Loseless compression

Secure Reversible Information Hiding in Image Based on Losel...

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2020年第五届多媒体系统和信号处理国际会议

作者： Qingxia Gao School of computer science and technology University of Science and Technology of China Shenzhen Research Institute Wuhan University

Information hiding mainly studies how to hide certain confidential information in certain public information and then transmit the confidential information through the public channel. However, embedding additional information in the original image results in permanent distortion of the original image, that is, the original image cannot be fully recovered after the information is embedded in. In order to solve this problem, based on lossless compression, we put forward a reversible information hiding technology in cipher text domain. Given an 8-bit gray image as the carrier, the value of each pixel is divided into eight bit planes. On the higher bit pixel plane, especially the highest one, the gradient of bit value change is very small, i.e., there appears a lot of continuous ‘0's or continuous ‘1's strings. Therefore, we can compress the data losslessly on that plane by using running length coding. The experiment results show that the method has fast running speed, high compression ratio and strong generality. Moreover, the proposed technique can be extended to reversible information hiding of video frames.

关键词： image compression encryption Run length coding image processing

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Secure chaotic dual encryption scheme for H.264/AVC video conferencing protection

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IET image PROCESSING 2018年第1期12卷 42-52页

作者： Khlif, Naziha Masmoudi, Atef Kammoun, Fahmi Masmoudi, Nouri Sfax Univ Dept Elect Natl Engn Sch Sfax Lab Elect & Informat Technol Rd Soukra Km 3-5BP 3038 Sfax Tunisia

This study presents a chaos-based crypto-compression scheme to protect the H.264 advanced video coding.(AVC) used for the applications of video conference. To this end, a selective encryption approach was adopted. The authors proposed to encrypt the inter-prediction, the intra-prediction and the context adaptive variable length coding. The format compliance and compression ratio are conserved. Their encryption method is based on two piecewise linear chaotic maps for pseudo-random bit generators. The first is considered as a decision module to choose either to encrypt or not, whereas the second is used for the encryption. The proposed encryption techniques were developed and discussed, and their experimental results indicate that the scheme is secure and very efficient according to the computing times. Moreover, it is suitable for real-time application and convenient for all the H.264/AVC profiles or even with other video compression standards.

关键词： chaotic communication video coding cryptography variable length codes data compression data protection adaptive codes secure chaotic dual encryption scheme H 264 AVC video conferencing protection chaos-based crypto-compression scheme advanced video coding.protection selective encryption approach context adaptive variable length coding inter-prediction encryption intra-prediction encryption format compliance compression ratio piecewise linear chaotic maps pseudorandom bit generators decision module video compression standards

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Securing JPEG-2000 images in constrained environments: a dynamic approach

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MULTIMEDIA SYSTEMS 2018年第6期24卷 669-694页

作者： Fawaz, Zeinab Noura, Hassan Mostefaoui, Ahmed Univ Bourgogne Franche Comte FEMTO ST Inst Disc Dept F-9000 Belfort France Amer Univ Beirut Dept Elect & Comp Engn Beirut Lebanon

This paper presents an efficient and lightweight format-compliant selective encryption algorithm for secure JPEG 2000 coding. The proposed encryption scheme is dynamic in nature, where the key is changed for every input image. Furthermore, an amount of 4% of bytes from each packet data is selected to follow the encryption process. Moreover, to achieve the desired security, two rounds of substitution-diffusion processes are applied to the selected bytes. Experimental analysis has proved that this amount of encrypted data ensures a hard image distortion, while significantly preserve the communication bandwidth. In addition, compression analysis and extensive security tests have demonstrated: (1) the robustness of the proposed selective encryption approach against the most known types of attacks, (2) the preservation of the main compression properties (i.e., compression friendliness and format-compliant), and most importantly, and (3) the efficiency in term of execution time compared to others similar JPEG-2000 images encryption schemes.

关键词： JPEG 2000 compression standard Format compliant Lightweight selective encryption Dynamic substitution Dynamic diffusion Security analysis

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An efficient encryption-then-compression technique for encrypted images using SVD

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DIGITAL SIGNAL PROCESSING 2017年 60卷 81-89页

作者： Kumar, Manoj Vaish, Ankita Babasaheb Bhimrao Ambedkar Univ Lucknow Uttar Pradesh India

This paper presents a lossy compression technique for encrypted images using Discrete Wavelet Transform (DWT), Singular Value Decomposition (SVD) and Huffman coding. The core idea of the proposed technique lies in the selection of significant and less significant coefficients in the wavelet domain. Significant and less significant coefficients are encrypted using pseudo-random number sequence and coefficient permutation respectively. Furthermore, encrypted significant data is compressed by quantization and entropy coding.while, less significant encrypted data is efficiently compressed by discarding irrelevant information using SVD and Huffman coding.techniques. At receiver side, a reliable decompression and decryption technique is used to reconstruct the original image content with the help of compressed bit streams and secret keys. The performance of proposed technique is evaluated using parameters such as compression Ratio (CR) and Peak-Signal-to-Noise Ratio (PSNR). Experimental results demonstrate the effectiveness of proposed work over prior work on compression of encrypted images and obtain the compression performance comparable to state of art work on compression of unencrypted images i.e. JPEG standard. (C) 2016 Elsevier Inc. All rights reserved.

关键词： compression ratio Huffman coding image compression Peak signal to noise ratio Singular value decomposition

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