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image encryption algorithm based on cascaded chaotic map and improved Zigzag transform

IET image PROCESSING 2022年第14期16卷 3863-3875页

作者： Zheng, Jiming Lv, Tianyi Chongqing Univ Posts & Telecommun Sch Sci Chongqing Peoples R China Chongqing Univ Posts & Telecommun Coll Comp Sci & Technol Chongqing Peoples R China

In this paper, an image encryption algorithm based on cascaded chaotic map and improved Zigzag transform is proposed. Firstly, a cascade chaotic system is improved to make its chaotic sequence evenly distributed and improve its parameter range. The purpose is to obtain high random chaotic sequence and make the ciphertext image more secure. Secondly, the improved Zigzag transform is used to scramble the image. Compared with the standard Zigzag transform, the improved Zigzag transform can fully scramble all the pixels and improve the randomness of the ciphertext image. Thirdly, a wave-shaped diffusion algorithm is designed, its characteristic is that it can alternate between different row and column for diffusion. The combination of SHA256 algorithm and plain image makes the cipher image better resist the select plaintext attack. Simulation results show that the algorithm has fast encryption efficiency, high security and can effectively resist various attacks.

关键词： image sequences SHA256 algorithm high random chaotic sequence standard Zigzag transform cascade chaotic system cascaded chaotic map cryptography chaos improved Zigzag transform image encryption algorithm wave-shaped diffusion algorithm ciphertext image

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Lossless embedding: A visually meaningful image encryption algorithm based on hyperchaos and compressive sensing

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Chinese Physics B 2023年第2期32卷 136-149页

作者：王兴元王哓丽滕琳蒋东华咸永锦 School of Information Science and Technology Dalian Maritime UniversityDalian 116026China Guangxi Key Laboratory of Multi-source Information Mining&Security Guangxi Normal UniversityGuilin 541004China School of Computer Science and Engineering Sun Yat-sen UniversityGuangzhou 511400China School of Cyber Security Qilu University of Technology(Shandong Academy of Sciences)Jinan 250353China

A novel visually meaningful image encryption algorithm is proposed based on a hyperchaotic system and compressive sensing(CS), which aims to improve the visual security of steganographic image and decrypted quality. First, a dynamic spiral block scrambling is designed to encrypt the sparse matrix generated by performing discrete wavelet transform(DWT)on the plain image. Then, the encrypted image is compressed and quantified to obtain the noise-like cipher image. Then the cipher image is embedded into the alpha channel of the carrier image in portable network graphics(PNG) format to generate the visually meaningful steganographic image. In our scheme, the hyperchaotic Lorenz system controlled by the hash value of plain image is utilized to construct the scrambling matrix, the measurement matrix and the embedding matrix to achieve higher security. In addition, compared with other existing encryption algorithms, the proposed PNG-based embedding method can blindly extract the cipher image, thus effectively reducing the transmission cost and storage space. Finally, the experimental results indicate that the proposed encryption algorithm has very high visual security.

关键词： chaotic image encryption compressive sensing meaningful cipher image portable network graphics image encryption algorithm

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Meaningful image encryption algorithm based on compressive sensing and integer wavelet transform

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Frontiers of Computer Science 2023年第3期17卷 161-175页

作者： Xiaoling HUANG Youxia DONG Guodong YE Yang SHI Faculty of Mathematics and Computer Science Guangdong Ocean UniversityZhanjiang 524088China School of Software Engineering Tongji UniversityShanghai 200092China

A new meaningful image encryption algorithm based on compressive sensing(CS)and integer wavelet transformation(IWT)is proposed in this *** of all,the initial values of chaotic system are encrypted by RSA algorithm,and then they are open as public *** make the chaotic sequence more random,a mathematical model is constructed to improve the random ***,the plain image is compressed and encrypted to obtain the secret ***,the secret image is inserted with numbers zero to extend its size same to the plain *** applying IWT to the carrier image and discrete wavelet transformation(DWT)to the inserted image,the secret image is embedded into the carrier ***,a meaningful carrier image embedded with secret plain image can be obtained by inverse ***,the measurement matrix is built by both chaotic system and Hadamard matrix,which not only retains the characteristics of Hadamard matrix,but also has the property of control and synchronization of chaotic ***,information entropy of the plain image is employed to produce the initial conditions of chaotic *** a result,the proposed algorithm can resist known-plaintext attack(KPA)and chosen-plaintext attack(CPA).By the help of asymmetric cipher algorithm RSA,no extra transmission is needed in the *** simulations show that the normalized correlation(NC)values between the host image and the cipher image are *** is to say,the proposed encryption algorithm is imperceptible and has good hiding effect.

关键词： image encryption algorithm compressive sensing integer wavelet transform Hadamard matrix

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image encryption algorithm based on the fractional Hermite transform

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JOURNAL OF MODERN OPTICS 2021年第19期68卷 1026-1040页

作者： Gong, Li-Hua Zeng, Jing Li, Xiao-Zhen Nanchang Univ Sch Informat Engn Nanchang 330031 Jiangxi Peoples R China

A new image encryption algorithm is proposed by combining fractional Hermite transform (FHT) with hyper-chaos map. In the first round of pixel scrambling, the original image is performed by the Zigzag operation and the Arnold transform. Then the scrambled image matrix is XORed with an encryption sequence composed of an 8-bit linear feedback shift register. Compared with the traditional Hermite transform, the FHT has better noise tolerance, and it could process the non-stationary input signals better. Subsequently, the encrypted data is re-encrypted by the cyclic shift operation based on the hyper-chaotic system. The four initial values of the hyper-chaotic system are obtained by combining plaintext image with SHA-512. Finally, the processed image matrix is XORed with a chaotic matrix generated by the three-dimensional Logistic-sine-coupling map. The presented image encryption algorithm has a large key space and strong anti-noise ability. Simulation results show that the proposed algorithm is feasible, secure and effective.

关键词： Linear feedback shift register fractional Hermite transform hyper-chaotic system three-dimensional logistic-sine-coupling map image encryption algorithm

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Big data security and privacy protection model based on image encryption algorithm

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SOFT COMPUTING 2023年 1-13页

作者： Hua, Binjie Wang, Zhe Meng, Junying Xi, HaiYan Qi, RuiLi Shijiazhuang Univ Sch Future Informat Technol Shijiazhuang 050035 Hebei Peoples R China Hebei Prov Radio & Televis Microwave Stn Shijiazhuang 050031 Hebei Peoples R China Hebei Inst Radio & Televis Sci & Technol Shijiazhuang 050011 Hebei Peoples R China

The popularity of machine learning, AI and the network has greatly facilitated life, but there are also many security risks, and users' privacy data have been greatly threatened. At present, this kind of problem is generally solved by using big data (BD) security and privacy protection model. However, the traditional BD security and privacy protection model also has its shortcomings. For example, when facing data privacy attacks and big data information intrusion attacks, the protection effect of traditional models is not ideal, and the protection speed for privacy is too slow. Through its shortcomings, the current BD security and privacy protection model is difficult to protect the current data privacy. The research on BD security and privacy protection model based on image encryption algorithm has become a hot field. Because of the advantages of image encryption algorithm in data encryption, it can be applied to BD security and privacy protection model. This paper proposed a BD security and privacy protection model based on image encryption algorithm, which aimed to improve the protection capability of the privacy protection model. The algorithm proposed in this paper was an image encryption algorithm based on chaotic system. Through this algorithm, the pixel correlation coefficient of the image can be reduced more thoroughly, and the user's image privacy and information can be encrypted better. In the test, the protection rates of traditional BD security and privacy protection model and BD security and privacy protection model constructed by image encryption algorithm based on chaotic system against tuple attacks were 75.15% and 82.25%, respectively. Its protection rates against attribute attacks were 77.26% and 82.41%, respectively, and against probabilistic attacks were 76.38% and 81.97%, respectively. It can be seen that the BD security and privacy protection model based on the image encryption algorithm of chaotic system has a higher protection rate against v

关键词： Big data security and privacy protection model image encryption algorithm Machine learning image encryption algorithm based on chaotic system Artificial intelligence

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A memristive system and its applications in red-blue 3D glasses and image encryption algorithm with DNA variation

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NONLINEAR DYNAMICS 2022年第3期107卷 2911-2933页

作者： Xiong, Li Yang, Feifei Mou, Jun An, Xinlei Zhang, Xinguo Hexi Univ Sch Phys & Electromech Engn Zhangye 734000 Peoples R China Tsinghua Univ Sch Integrated Circuits Beijing 100084 Peoples R China Lanzhou Univ Technol Sch Elect Engn & Informat Engn Lanzhou 730050 Peoples R China Dalian Polytech Univ Sch Informat Sci & Engn Dalian 116034 Peoples R China Lanzhou Jiaotong Univ Sch Math & Phys Lanzhou 730070 Peoples R China Lanzhou Univ Sch Informat Sci & Engn Lanzhou 730000 Peoples R China

In this paper, a memristive circuit system is proposed and its dynamical characteristics are analyzed by two-parameters bifurcation diagrams, Lyapunov exponent spectrum, SE complexity and C0 complexity. The numerical analysis results illustrate that the chaotic state of the memristive system is distributed in a large range of parameters, which is especially suitable for image encryption application. Then, in view of the fact that the traditional method of observing three-dimensional chaotic attractors can not give full play to the essence of human eyes cooperating with brain information processing, a new method to obtain the brain information of complete three-dimensional chaotic attractors by using red-blue 3D glasses is proposed. The results show that compared with the traditional method based on the memristive system, the visual effect of chaotic attractors observed by red-blue 3D glasses is shocking. In addition, an image encryption algorithm is designed to verify the image encryption application of the memristive system based on DNA variation. A series of security performance analysis experiments are performed to verify the effectiveness and reliability of the designed algorithm such as the secret key space analysis, histogram distribution analysis, information entropy analysis, correlation analysis and key sensitivity analysis. Finally, the hardware circuit based on the memristive system is implemented with some common electronic devices, which has the advantages of simple structure and low cost.

关键词： Memristive system Red-blue 3D glasses image encryption algorithm DNA variation Hardware implementation

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Color image encryption algorithm Using DNA Encoding and Fuzzy Single Neurons

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IEEE ACCESS 2022年 10卷 127770-127782页

作者： Xu, Yaoqun Tang, Meng Harbin Univ Commerce Sch Syst Engn Harbin Peoples R China Harbin Univ Commerce Sch Comp & Informat Engn Harbin Peoples R China

In order to hide image information more efficaciously, improve the radio of workpiece and quality of encryption, this paper proposes delayed chaotic neuron dynamical system, extracts a single neuron research model to determine its dynamic properties, analyzes the model's sensitivity, stability and the randomness of the chaotic sequence, and verifies its dynamics feasibility of combining the system with DNA encoding. The single delay neuron can simulate the unknown dynamic behavior and capability in the model in a certain sense which can effectively improve optimization ability and con-vergence speed of the neural to make the network more practical. DNA encoding also offers new train of thoughts and directions for the study of cryptography. In addition, by introducing the functional form of fuzzy number can further enhance the stability and adaptability of chaotic system in un-certain environment, and get more distinct chaotic phenomena. The experimental simulation and comprehensive data analysis of the algorithm are carried out in this paper. The data manifest that the system has a large chaotic range, can pass the randomness test of NIST and TestU01, has high complexity and sensitivity which could effectively avoid noise attacks. The encrypted information entropy of classical images can reach 7.9998, which confirms that it can effectively and safely realize the encryption of digital images.

关键词： Self-feedback delayed chaos single neuron dynamical system fuzzy numbers DNA encoding image encryption algorithm

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image encryption algorithm Based on Latin Squares and Adaptive Z-Diffusion 22

Image Encryption Algorithm Based on Latin Squares and Adapti...

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Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition

作者： Yangguang Lou Shucui Xie Jianzhong Zhang Xi'an University of Posts and Telecommunications China Shaanxi Normal University China

ISBN: (纸本)9781450396899

This paper proposes a chaotic encryption algorithm based on Latin squares and adaptive Z-diffusion. First, in order to improve the defects of the traditional Sine system, two-dimensional enhance Sine chaotic system (2D-ESCS) is designed. In terms of bifurcation diagram, Lyapunov exponent and NIST, we can observe that 2D-ESCS have continuous and large chaotic ranges. Second, the generation of Latin squares through pseudorandom sequences generated by 2D-ESCS and then perform scrambling operation with the image. Third, adaptive Z-diffusion depends on the location of the pixels. the cipher image is calculated by different combinations of pseudorandom numbers, plain images pixel values and intermediate cipher image pixel values. Finally, simulation experiments and security analysis show that the proposed algorithm has a high security level to resist various cryptanalytic attacks and a high execution efficiency.

关键词： Adaptive diffusion Chaotic system image encryption algorithm Latin squares

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Indoor thermal energy environment control and beauty health management based on image encryption algorithm

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THERMAL SCIENCE AND ENGINEERING PROGRESS 2024年 56卷

作者： Lei, Li ShanXi Med Univ Hosp 1 Plast Reconstruct & Cosmet Surg Taiyuan 030001 Shanxi Peoples R China

In today's society, effective control of indoor thermal environment and beauty and health management are increasingly valued. This study aims to explore effective methods for indoor thermal environment control and beauty health management based on image encryption algorithms, with the aim of improving customer experience and reducing energy consumption. The study introduces the theoretical basis of image encryption algorithms, including image encryption and decryption architecture, chaotic sequence generation, compression encryption, and simulation results. These basic algorithms provide technical means to ensure customer privacy and data security. Subsequently, customer behavior image recognition technology was analyzed for thermal environment control in beauty salons, and the relationship between customer behavior and indoor thermal environment was explored. By analyzing customer behavior data, an intelligent control system was constructed that can dynamically adjust indoor temperature based on real-time changes, thereby optimizing customer comfort and satisfaction. This study designed a beauty and health management system that covers system structure, management functions, and optimization strategies to achieve comprehensive management of thermal environment and beauty and health. Through experiments, it has been proven that the system not only improves customer satisfaction but also helps reduce overall energy consumption, achieving the expected results.

关键词： image encryption algorithm Interior design Thermal energy environment control Beauty and Health Management

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2D-SCMCI Hyperchaotic Map for image encryption algorithm

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IEEE ACCESS 2021年 9卷 59313-59327页

作者： Sun, Jilei Nanjing Univ Aeronaut & Astronaut Dept Comp Sci & Technol Nanjing 210000 Peoples R China Binzhou Univ Dept Informat Engn Binzhou 256600 Peoples R China

Chaos has unpredictability and initial condition sensitivity, which known as a best candidate for cryptography application. However, there are many defects for the existing chaotic cryptography systems due to the use of chaotic maps that without complexity dynamic properties. To overcome these weaknesses, this work designed a 2D-SCMCI hyperchaotic map based on Cascade Modulation Couple (CMC) and two 1D-chaotic map. The dynamic characteristics of the 2D-SCMCI hyperchaotic map are analyzed through attractor trajectory, 0-1 test, bifurcation diagram, Lyapunov exponents and spectrum entropy (SE) complexity. The results of analysis indicate that 2D-SCMCI hyperchaotic map has rich dynamic performance and randomness, which illustrates that it is more suitable for image encryption algorithm. Therefore, an image encryption algorithm is proposed by 2D-SCMCI hyperchaotic map. In encryption algorithm, the image is scrambled by row and column, forward and backward diffusion are used to diffuse image pixel values. The security performances analysis results indicate that the introduced algorithm has better security characteristics.

关键词： Heuristic algorithms encryption Complexity theory Modulation Security Bifurcation Licenses 2D-SCMCI hyperchaotic map image encryption algorithm dynamic characteristic cryptographic analysis

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