基于超混沌系统的彩色图像加密新算法

为了研究数字图像在通信中的安全传输问题,提出了一种改进的基于超混沌系统的彩色图像加密算法.利用改进的Logistic映射对彩色图像的R、G、B三层像素灰度值进行位置置乱,对置乱后的各层像素灰度值采用陈氏超混沌系统异或加密,得到彩色密文图像.使用MATLAB7.0进行仿真.密文图像杂乱无章,毫无规律,完全不同于原始图像.仿真结果表明,该算法密钥空间大,效率高,安全性能好,适用于彩色图像的安全传输.     

基于超混沌系统和AES的图像加密改进算法

针对现有混沌图像加密对序列利用不充分、参数固定等问题,提出一种基于两个超混沌系统与AES加密结合的图像加密算法。使用原始密钥处理后的数据对两个超混沌系统生成的序列进行选择,分别对图像进行置乱和扩散,并结合AES算法对图像再次加密。此方法通过利用密钥对超混沌系统初值进行修改和对混沌序列进行选择,提高了算法的随机性和安全性,使加密后的图像有良好的密文统计特性。仿真结果表明,该算法能够根据用户输入的密钥改变参数和加密序列,并且具有良好的抗剪切性能。     

改进型Logistic混沌映射及其在图像加密与隐藏中的应用

鉴于原Logistic映射的映射范围有限、混沌参数范围小、分布不均匀等缺陷,该文提出一个新的改进型Logistic混沌映射。该映射有μ和α两个参数,x_n-1和x_n两个初值,参数和初值选取范围可扩展到任意实数,其混沌映射均为满映射,且映射范围可任意调控。将该映射应用到图像加密,其算法采用像素值异或(XOR)加密、像素位置置乱处理。之后再把密文数据隐藏在与密文无关的载图之中。对密文图像做了一系列的分析,包括图像的相邻像素点相关性,直方图分析和密钥敏感性测试。分析结果表明,所提加密算法具有很好的安全性和加密效果。     

一种基于混沌映射的快速图像加密算法优化

为了解决现有图像加密算法存在随图像尺寸变大导致加密时间迅速增加的问题,采用基于logistic和Arnold映射的改进加密算法实现了快速图像加密算法的优化。该算法基于两种混沌映射对原文图像进行像素置乱和灰度值替代,像素置乱是按图像大小选择以H个相邻像素为单位进行,通过适当调整H的取值实现加密时间优化;灰度值替代是利用Arnold映射产生混沌序列对置乱图像进行操作而得到密文图像。结果表明,对于256×256的Lena标准图像,加密时间降低到0.0817s。该算法具有密钥空间大和加密速度快等优点,能有效抵抗穷举、统计和差分等方式的攻击。     

一种基于新超混沌Chen系统的置乱替代相结合的加密算法

随着多元化媒介和数字化信息网络的急速发展,数码形象加密技术在图形形象的安全保存、传达输送、著作权保护和秘密通信等领域被普遍推广应用。针对现有基于超级混沌的图像加密算法的缺点,提出了一种改进算法,该算法对像素加扰进行优化配置,通过像素置换和加密文本扩散过程,进一步混乱明文图像与加密文本图像的关联效应,从而能缩短超级混沌系统的迭代时间。研究结果表明加密后直方图的像素值分布均匀;密文之间的NPCR值和UACI值分别为99.6521%和33.4321%,表明算法对加密密钥的微小改变具有极强的敏感性;在新超混沌序列量化模式中引入该方法可有效提高操作效率,且该算法无论在安全方面还是有效运用方面都具备良好性能,可在图像安全通信和其他领域广泛使用。     

一种新的图像加密算法研究与应用

提出了一种新的混沌彩色图像加密算法.首先由Logistic和Cubic-Henon复合混沌映射生成混沌序列,再结合像素值替代和图像位置置乱方法对彩色图像进行加密,并利用"一幅图像一次密钥"的密钥同步方案,实现了一个基于混沌的图像保密通信系统.该算法具有一定的有效性和良好的加密性能.     

基于超混沌系统和密文交错扩散的图像加密新算法

该文提出一种基于超混沌系统优化序列并结合密文交错扩散的并行图像加密策略。首先,对超混沌序列进行改造使得改进序列更适合图像加密;然后,利用改进的混沌序列产生与明文相关的最终密钥序列,使得算法对明文敏感。图像被分成两个子块,以并行方式对子块进行两轮像素加密,并引入密文交错扩散技术。对密钥空间和执行效率、像素分布特性、相关系数、抗差分攻击能力以及密钥敏感性进行了测试和分析,证明了方案的安全性和执行效率。结果表明,该算法安全高效,在图像保密通信中具有较大的应用潜力。     

基于超混沌和改进AES的图像加密算法

提出了一种新的灰度图像的加密算法。利用超混沌Qi系统的混沌序列发生器生成混沌序列,并对灰度图像进行加密和二值化。截取混沌系统产生的类随机序列作为AES的初始密钥,此方法增强了密钥的随机性和敏感性。为了提高轮密钥的随机性以加强加密算法的安全性,利用混沌算法来获得轮密钥加变换中需要的所有轮密钥,进行字节替换、行移位和列混合。仿真结果表明,该算法比传统的AES具有更大的密钥空间,增加穷举密钥攻击进行解密的难度,且明文与密文不再一一对应,大大增强了图像信息的保密性。     

面向云环境的彩色图像混合加密算法

针对传统图像加密算法难以保证在云环境下密钥配送的安全性,以及DNA编码在抗统计学分析效果欠佳等问题提出了一种面向云环境的彩色图像混合加密算法。提出了一种自适应DNA编码对传统方法进行改善,通过国产SM2与SM3加密算法作为散列值的生成函数与控制参数的非对称加密,运用盲水印技术镶嵌至密文图像中。实验结果表明,该算法密钥空间大且加密图像相邻像素相关性较低,具有更为接近理想值的像素改变率与像素平均改变强度,具有较为理想的安全性同时在密钥的传输过程中由非对称加密算法保证其安全可靠。     

基于混沌伪随机匹配移位的图像加密算法

基于二维Logistic混沌系统,提出一种伪随机匹配移位的图像加密算法。先对原始图像和混沌系统产生的模板图像像素在水平和垂直方向进行随机匹配移位,匹配方式和移位步长由混沌序列控制。接着对像素置乱后的原始图像和模板图像进行按位异或运算,得到加密后的密文。混沌随机匹配移位不仅保证了原始图像的充分置乱,同时也提高了异或加密的安全性。数值实验结果显示该加密方法能够抵御常见的暴力破解攻击、统计分析攻击和差分攻击,具有较高的安全性。     

Chaotic image encryption based on circular substitution box and key stream buffer

A new image encryption algorithm based on spatiotemporal chaotic system is proposed, in which the circular S-box and the key stream buffer are introduced to increase the security. This algorithm is comprised of a substitution process and a diffusion process. In the substitution process, the S-box is considered as a circular sequence with a head pointer, and each image pixel is replaced with an element of S-box according to both the pixel value and the head pointer, while the head pointer varies with the previous substituted pixel. In the diffusion process, the key stream buffer is used to cache the random numbers generated by the chaotic system, and each image pixel is then enciphered by incorporating the previous cipher pixel and a random number dependently chosen from the key stream buffer. A series of experiments and security analysis results demonstrate that this new encryption algorithm is highly secure and more efficient for most of the real image encryption practices.     

基于神经网络混沌吸引子的混合加密

把Diffe-Hellman密钥交换协议和流密码算法相结合,设计了一种基于神经网络混沌吸引子的混合加密算法。算法采用基于混沌吸引子的Diffe-Hellman公钥体制,保证了密钥分发的安全性,同时拥有流密码速度快的优点,提高了加密速度,因此实用性较好,能够满足下一代通信实时快速的需求。分析了算法的安全性和加解密效率,利用vc编程实现算法,并对仿真生成的密钥流和密文进行测试。实验结果表明,算法具有较好的安全性和加解密速度。     

通用数字图像加密与抗剪切攻击恢复算法

为对数字图像进行有效地保护,提出一种以混沌系统及其混沌序列为基础的通用加密与解密算法。首先,根据密钥产生一个混沌序列,经排序后生成相应的下标序列,并据此进行像素坐标置乱加密。然后,根据子密钥与图像类型值由混沌序列生成相应的无符号整数序列,并按顺序与对应的像素值进行异或运算以实现像素值置换加密。针对恶意剪切攻击,同时提出一种基于邻域相邻像素特性的抗剪切攻击恢复算法。实验结果与理论分析表明,该算法加密效果好,密钥空间大,安全性与通用性强,且具有较为理想的抗统计分析攻击与抗剪切攻击能力。     

快速置乱耦合3D混沌映射的图像加密算法研究

针对当前3D混沌映射加密算法的安全性不高,且其置乱过程的计算量大,置乱性不稳定,以及置乱方法不具有通用性等缺陷,设计了一种快速通用置乱方法,并将混淆与扩散机制同时引入进来,提出了一种新的3D混沌映射图像加密算法。首先利用快速置乱方法置乱初始图像,以改变像素位置;利用三维Chen系统结合像素值变换函数所生成初始外部密钥迭代3D混沌映射,得到一个序列,该序列根据混淆机制对置乱图像像素值进行混淆;改变外部密钥,再迭代计算3D混沌映射,得到三元一维伪随机数组,并借助密钥流机制量化该数组,得到新序列,利用该新序列根据扩散机制对混淆后的像素进行扩散处理。借助MATLAB仿真软件对该算法及其他3D算法进行对比仿真。结果显示:与其他3D算法相比,该算法安全性更高,置乱速度更快,计算效率更高,且其密钥空间巨大。     

A novel image encryption scheme based on a linear hyperbolic chaotic system of partial differential equations

Compared with general chaotic systems, a linear hyperbolic chaotic system of partial differential equations with nonlinear boundary conditions has larger parameter space, stronger sensitivity to initial condition and control parameter, better random-like behavior and so on, but it has not been employed in cryptography so far. Then using its significant properties, we present a new cryptosystem with coupled map lattices and time-varying delay. The proposed image encryption algorithm with permutation–diffusion architecture can overcome some drawbacks in the existing methods, because the sum of pixel value of original image is used for determining the permutation parameters and the previous cipher image information is utilized in the next diffusion. Theoretical analysis and computer experiments confirm that the new algorithm is efficient, practicable, and reliable, with high potential to be adopted for network security and secure communications.     

Improved algorithm for image encryption based on DNA encoding and multi-chaotic maps

New image encryption based on DNA encoding combined with chaotic system is proposed. The algorithm uses chaotic system to disturb the pixel locations and pixel values and then DNA encodings according to quaternary code rules are carried out. The pseudo DNA operations are controlled by the quaternary chaotic sequences. At last the image encryption through DNA decoding is achieved. The theoretical analysis and experimental results show that the algorithm improves the encoding efficiency, enhances the security of the ciphertext, has a large key space and a high key sensitivity, it is able to resist the statistical and exhaustive attacks.     

Fusion of confusion and diffusion: a novel image encryption approach

Recently, the development of confidentiality and authenticity ensured by image encryption has been one of the key advancements in the field of secured wireless communication. The proposed work focuses on providing confusion, diffusion and permutation inherently in the system. The input grayscale image is shuffled by employing the Henon algorithm and subsequently separated into 8 bit planes. With the aid of a secret key of 256 bits, chaotic sequences are generated for each bit plane. Later, the logistic map is adapted on the chaotic sequences to obtain the scrambled image. Furthermore, this image is shuffled with Zaslavskii and Hilbert Space Filling Curve algorithms, which establishes the confusion stage. To incorporate the diffusion stage, a self-invertible matrix is generated by a latin square image cipher and a secret key. This matrix and the scrambled image underwent the Hill cipher to build the encrypted image followed by a row-column transformation to ensure multifold security. The proposed compound activities of encryption are successfully implemented on the laboratory virtual instrumentation engineering workbench 2013 platform. Noticeably, the established processes of image encryption are tested in the universal software radio peripheral environment and transceived via an additive white Gaussian noise (AWGN) channel. More specifically, the influence of natural and unnatural (cropping attack) noise on the characteristics of the encrypted image while sharing through AWGN channel has been investigated. Security analysis is performed by computing the unified average changing intensity, number of pixels change rate, correlation value, large key space to defy brute force attack, strong key sensitivity and uniform gray value distribution on encryption.     

Novel SCAN-CA-based image security system using SCAN and 2-D von Neumann cellular automata

This paper presents a novel SCAN-CA-based image security system which belongs to synchronous stream cipher. Its encryption method is based on permutation of the image pixels and replacement of the pixel values. Permutation is done by scan patterns generated by the SCAN approach. The pixel values are replaced using the recursive cellular automata (CA) substitution. The proposed image encryption method satisfies the properties of confusion and diffusion as the characteristics of SCAN and CA substitution are flexible. The salient features of the proposed image encryption method are lossless, symmetric private key encryption, very large number of secret keys, key-dependent permutation, and key-dependent pixel value replacement. Simulation results obtained using some color and gray-level images clearly demonstrate the strong performance of the proposed SCAN-CA-based image security system.