检索结果-内蒙古大学图书馆

6th International Conference for Convergence in Technology (I2CT)

作者： Mohan, Prajval Vemparala, Rohit Anto, S. Vellore Inst Technol Sch Comp Sci & Engn Vellore Tamil Nadu India

ISBN: (纸本)9781728188768

In this paper, techniques to improve the overall efficiency of an image encoding algorithm that is specifically designed to be used in Wireless Sensor Networks (WSN) are proposed. The inherent nature of WSN, which contains numerous network nodes each having its computational resources, makes the algorithm is being underutilized due to its sequential nature and hence there is a scope to improve speedup by applying the concepts of parallelization on it. The other avenues which are pertinent to the task are the usage of GPU for computation of large arrays as well as the concept of cluster computing to run the algorithm on a cluster of nodes. Another point of importance for such an algorithm is the utilization of memory and how to make its usage more efficient. Hence, the concept of pre-allocation is also applied to the algorithm to make it run faster. An in-depth study of the algorithm is conducted by considering various parameters such as the size and complexity of the key, histogram analysis, correlation values, etc.

关键词： Wireless Sensor Network Parallelization GPU Preallocation Clustering Correlation coefficient Histogram image encryption algorithm Keyspace NPCR UACI

来源：评论

学校读者我要写书评

暂无评论

A novel image shift encryption algorithm based on the dynamic Joseph ring problem

引用

MULTIMEDIA TOOLS AND APPLICATIONS 2023年第26期82卷 39897-39927页

作者： Wang, Hui Dong, Boxin Ke, Hongchang Qi, Qianqian Liu, Gang ChangChun Univ Technol Changchun 130012 Peoples R China Changchun Inst Technol Changchun 130012 Peoples R China

image encryption can effectively prevent unauthorized users from stealing personal information. Attackers usually analyze the information of the encrypted image according to the strong correlation between image pixels and use it as the breakthrough point of the image encryption algorithm. How to destroy the strong correlation of pixels is a hot topic of current research. In this paper, we propose a novel and simple encryption scheme that is no less effective than other algorithms, called Joseph shift encryption (JSE). To enhance the effectiveness of image encryption, we propose the static Joseph shift encryption (S-JSE) and the dynamic Joseph shift encryption (D-JSE) algorithms. S-JSE can decrease the dimension of the image and shift with the generated Joseph sequence group, then the encrypted image can be generated. D-JSE can increase the number of iterations on the basis of S-JSE, and the Joseph sequence of each iteration is different. Furthermore, the encrypted sequence is scrambled according to the Joseph mapping table and upgraded the dimension to complete the encryption. We analyze the effectiveness of the proposed S-JSE including the impact of the key selection on the effect of image encryption, and the encryption security. Thereafter, we utilize the proposed D-JSE to improve the security of grayscale and color image and verify the effectiveness of the proposed algorithm by extensive and comprehensive experiments in terms of correctness verification, histogram equalization and information entropy, adjacent pixel correlation, plaintext sensitivity, key sensitivity, encrypted image anti-interference, key space, encryption time and defense against special image attacks

关键词： Joseph ring image encryption algorithm Shift encryption Information security

来源：评论

学校读者我要写书评

暂无评论

An image encryption algorithm Based on BP Neural Network and Hyperchaotic System

引用

China Communications 2020年第5期17卷 21-28页

作者： Feifei Yang Jun Mou Yinghong Cao Ran Chu School of Information Science and Engineering Dalian polytechnic UniversityDalian 116034China

To reduce the bandwidth and storage resources of image information in communication transmission, and improve the secure communication of information. In this paper, an image compression and encryption algorithm based on fractional-order memristive hyperchaotic system and BP neural network is proposed. In this algorithm, the image pixel values are compressed by BP neural network, the chaotic sequences of the fractional-order memristive hyperchaotic system are used to diffuse the pixel values. The experimental simulation results indicate that the proposed algorithm not only can effectively compress and encrypt image, but also have better security features. Therefore, this work provides theoretical guidance and experimental basis for the safe transmission and storage of image information in practical communication.

关键词： BP neural network fractional-order hyperchaotic system image encryption algorithm secure communication

来源：评论

学校读者我要写书评

暂无评论

image encryption algorithm based on image hashing, improved chaotic mapping and DNA coding

引用

IET image PROCESSING 2019年第14期13卷 2905-2915页

作者： Zhang, Qiuyu Han, Jitian Ye, Yutong Lanzhou Univ Technol Sch Comp & Commun Lanzhou 730050 Gansu Peoples R China

In order to improve the problems of security and robustness for existing image encryption algorithms and to reduce the security risks of encryption algorithms against statistical analysis, differential attacks, exhaustive attacks, cropping and noise attacks etc., a novel image encryption algorithm based on image hashing, improved chaotic mapping and DNA coding is proposed. Firstly, extracting the image features and evenly block after pre-processing the original image and fingerprint image. Secondly, the features are generated to be a binary hash sequence through the image hash algorithm, and the generated hash sequence is iterated as the initial parameter of the improved chaotic map and Chen's chaotic system. Finally, Chen's chaotic system is used to generate a random sequence, and the matrix generated by the improved chaotic map and the original image is subjected to DNA calculation and encoding operations to obtain an encrypted image. Experimental results show that the proposed algorithm has better performance on security, larger key space and higher key sensitivity, the pixel correlation coefficient close to 0, the information entropy close to 8, unified average changing intensity and number of pixels change rate values are close to ideal values, and it has better robustness on noise and cropping attacks.

关键词： image coding DNA statistical analysis cryptography image processing entropy random sequences chaos chaotic communication image encryption algorithm image hashing improved chaotic mapping image features fingerprint image binary hash sequence generated hash sequence improved chaotic map Chen's chaotic system encryption algorithms

来源：评论

学校读者我要写书评

暂无评论

Novel image encryption algorithm based on improved logistic map

引用

IET image PROCESSING 2019年第1期13卷 125-134页

作者： Li, Renzhi Liu, Qian Liu, Lingfeng Nanchang Univ Sch Software Nanchang 330029 Jiangxi Peoples R China

Chaotic mapping has been widely used in image encryption given the unpredictability, ergodicity, and sensitivity of parameters and initial values and the high correspondence with cryptography. The logistic map has the disadvantages of uneven distribution, low security, and small parameter space. In order to overcome these disadvantages, in this article, a new chaotic map based on a real-time variable logistic map with a randomly selected decimal is proposed. Furthermore, this chaotic mapping is applied to image encryption. Several simulation experiments show that the new encryption algorithm can obtain a safely encrypted image at a minimal time complexity.

关键词： chaos cryptography image processing computational complexity chaotic mapping image encryption algorithm improved real-time variable logistic map cryptography randomly selected decimal time complexity

来源：评论

学校读者我要写书评

暂无评论

A self-cited pixel summation based image encryption algorithm

引用

Chinese Physics B 2017年第1期26卷 131-138页

作者： Guo-Dong Ye Xiao-Ling Huang Leo Yu Zhang Zheng-Xia Wang Faculty of Mathematics and Computer Science Guangdong Ocean University Zhanjiang 524088 China College of Information Science and Electronic Engineering Zhejiang University Hangzhou 310027 China Department of Electronic Engineering City University of Hong Kong Kowloon Tong Hong Kong China College of Information Science and Engineering Chongqing Jiaotong University Chongqing 400074 China

In this paper, a novel image encryption algorithm is presented based on self-cited pixel summation. With the classical mechanism of permutation plus diffusion, a pixel summation of the plain image is employed to make a gravity influence on the pixel positions in the permutation stage. Then, for each pixel in every step of the diffusion stage, the pixel summation calculated from the permuted image is updated. The values from a chaotic sequence generated by an intertwining logistic map are selected by this summation. Consequently, the keystreams generated in both stages are dependent on both the plain image and the permuted image. Because of the sensitivity of the chaotic map to its initial conditions and the plain-imagedependent keystreams, any tiny change in the secret key or the plain image would lead to a significantly different cipher image. As a result, the proposed encryption algorithm is immune to the known plaintext attack（KPA） and the chosen plaintext attack（CPA）. Moreover, experimental simulations and security analyses show that the proposed permutationdiffusion encryption scheme can achieve a satisfactory level of security.

关键词： pixel summation image encryption algorithm intertwining logistic map gravity security

来源：评论

学校读者我要写书评

暂无评论

Breaking an image encryption algorithm based on the new substitution stage with chaotic functions

引用

OPTIK 2016年第14期127卷 5695-5701页

作者： Norouzi, Benyamin Mirzakuchaki, Sattar Iran Univ Sci & Technol Sch Elect Engn Elect Res Ctr POB 16846-13114 Tehran Iran

This paper is a cryptanalysis of a recent proposed image encryption algorithm based on chaotic functions. The cryptosystem is composed of two-stage permutation and one-stage substitution for encryption of the gray scale plain-image. However, by applying chosen plaintext attack which is described in this paper, we show that all the secret parameters can be revealed. In addition, some other security defects of the cryptosystem are also highlighted. Both mathematical analysis and experimental results confirm the feasibility of this attack. As a result, the cryptosystem in this structure cannot be recommended when we need a higher level of security. (C) 2016 Elsevier GmbH. All rights reserved.

关键词： image encryption algorithm Cryptanalysis Substitution Keystream

来源：评论

学校读者我要写书评

暂无评论

An image layered scrambling encryption algorithm based on a novel discrete chaotic map

引用

IET image PROCESSING 2023年第2期17卷 518-532页

作者： Tang, Jianeng Zhang, Zezong Chen, Peiyang Zhang, Feng Ni, Hui Huang, Zhongming Huaqiao Univ Coll Engn Quanzhou Peoples R China Huaqiao Univ Coll Informat Sci & Engn Xiamen Peoples R China Fujian MM Elect Co Ltd Quanzhou Peoples R China

At present, the image encryption algorithm based on the bit-plane has the problem that the encryption speed and the encryption effect cannot be well balanced. To address the problem, an image layered scrambling encryption algorithm is proposed in this paper. First, a new one-dimensional Cosine Logistic compound chaotic map (1DCLC) is proposed. Several characteristics of the new chaotic map are analyzed by using various measures, such as bifurcation diagram, Lyapunov exponent, sample entropy etc. And the results show that the novel chaotic map has a better chaotic performance. Second, based on the chaotic map, an image encryption algorithm is proposed. The algorithm first performs an XOR encryption operation on the image. Second, the layered scrambling is applied to the XOR encrypted image. Then the layered and scrambled image is recombined for the second XOR encryption operation. In particular, in the layered scrambling, not only can the position of the pixel be changed but also the value of the pixel can be modified, which improves the security of the algorithm. In addition, in order to defend against various plaintext attacks and increase the security of the overall algorithm, the Hash function is introduced to update the key of the proposed algorithm. Finally, the original algorithm is improved and the improved algorithm's ability to resist differential attacks is analyzed. The experimental simulation and security test results show that the proposed encryption algorithm has a comparable encryption effect and a faster encryption speed.

关键词： XOR encryption operation improved algorithm Cryptography image layered scrambling novel chaotic map chaotic performance image encryption algorithm Optical, image and video signal processing faster encryption speed Computer vision and image processing techniques chaos image processing XOR encrypted image Data security entropy one-dimensional Cosine Logistic compound chaotic map novel discrete chaotic map comparable encryption effect bifurcation cryptography layered scrambled image

来源：评论

学校读者我要写书评

暂无评论

ADOPTION OF FRACTIONAL DIFFERENTIAL EQUATIONS UNDER IMPROVED VARIATIONAL ITERATIVE algorithm COMBINED WITH DNA CODING algorithm IN image encryption

引用

FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY 2022年第2期30卷 2240062-2240062页

作者： Li, Xu Kateb, Faris Wu, Shaofei Hubei Univ Econ Law & Business Coll Wuhan 430205 Peoples R China Wuhan Inst Technol Hubei Prov Key Lab Intelligent Robots Wuhan Peoples R China Wuhan Inst Technol Sch Comp Sci & Engn Wuhan Peoples R China King Abdulaziz Univ Fac Comp & Informat Technol Dept Informat Technol Jeddah Saudi Arabia

To explore the application of improved variational iterative method in solving fractional differential equations and the effect of DNA coding algorithm based on logistic chaos mapping in image encryption, combining Chebyshev polynomial with variational iterative method, a new algorithm for solving fractional differential equations is proposed. In order to solve the initial value problem, the simulation software is used to compare the approximate solution after the change of values of a and k in the solution process to investigate the influence of different parameters on the accuracy of fractional order system. Subsequently, the logistic chaos sequence is used to generate discrete binary sequences, and an image encryption algorithm based on DNA coding is proposed. In order to verify the encryption performance of the proposed algorithm, Matlab simulation software is used to simulate and verify the image encryption processing. The results show that when a approaches 1, the solution is closer to the exact solution than that when a approaches 0.5, 0.7, and 0.9;compared with 1, 3, 5, and 7, the constructed algorithm has the highest accuracy when k value is 9. The simulation results of the fuzzy partial fractional order system show that the chaotic sequence is sensitive to the initial value, and the logistic mapping sequence is suitable for the information encryption of the secure communication system. The simulation results of the image encryption algorithm based on DNA coding show that the algorithm can effectively encrypt the image, and the image histogram after encryption is approximately a horizontal line;slight changes in the initial value will affect the decryption effect of the image;the correlation analysis results show that there is no correlation between adjacent pixels in the image after encryption, which indicates that combining Chebyshev polynomials with variational iteration method can reduce the computational burden and improve the computational accuracy, a

关键词： Chebyshev Polynomial Variational Iterative Method Logistic Chaos Mapping DNA Coding image encryption algorithm

来源：评论

学校读者我要写书评

暂无评论

image encryption scheme based on compressed sensing and fractional quantum logistic-tent map

引用

CYBERSECURITY 2025年第1期8卷 1-17页

作者： Xu, Birong Ye, Ximei Wang, Xiaoyuan Zhang, Zhipeng Wuyi Univ Coll Mech & Elect Engn 358Baihua Rd Wuyishan 354300 Fujian Peoples R China Hangzhou Dianzi Univ Sch Elect & Informat Hangzhou 310018 Peoples R China

In this paper, we construct a quantum logistic-tent map and extend it to the fractional order. Using bifurcation portrait, Lyapunov exponent spectrum, and spectral entropy, its nonlinear characteristics are investigated. The analysis results illustrate that this fractional map possesses higher nonlinearity and is better suited for image encryption. Thus, the fractional quantum logistic-tent map as well as compressed sensing (CS) are utilized to create an image cryptosystem. The measurement matrix of CS is generated by this fractional map. Moreover, the map is also used for confusion and diffusion. In this encryption algorithm, the plaintext image is first sparsely represented with discrete wavelet transform (DWT). We then segment and reassemble the sparse image, and apply Arnold map to confuse the reassembled image. Next, a partial Hadamard matrix samples the image, and the pixel value is quantified with limited accuracy. Finally, the pixels of the image are diffused by two-way diffusion. This scheme integrates sparsity, block exchange, confusion, measurement acquisition, and diffusion. The simulation experiment finds that this image encryption approach possesses good security and compression performance.

关键词： Fractional-order quantum logistic-tent map image encryption algorithm Compressed sensing

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：