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

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.

Fortifying Healthcare Data Security in the Cloud:A Comprehensive Examination of the EPM-KEA Encryption Protocol

A new era of data access and management has begun with the use of cloud computing in the healthcare industry.Despite the efficiency and scalability that the cloud provides, the security of private patient data is still a majorconcern. Encryption, network security, and adherence to data protection laws are key to ensuring the confidentialityand integrity of healthcare data in the cloud. The computational overhead of encryption technologies could leadto delays in data access and processing rates. To address these challenges, we introduced the Enhanced ParallelMulti-Key Encryption Algorithm (EPM-KEA), aiming to bolster healthcare data security and facilitate the securestorage of critical patient records in the cloud. The data was gathered from two categories Authorization forHospital Admission (AIH) and Authorization for High Complexity Operations.We use Z-score normalization forpreprocessing. The primary goal of implementing encryption techniques is to secure and store massive amountsof data on the cloud. It is feasible that cloud storage alternatives for protecting healthcare data will become morewidely available if security issues can be successfully fixed. As a result of our analysis using specific parametersincluding Execution time (42%), Encryption time (45%), Decryption time (40%), Security level (97%), and Energyconsumption (53%), the system demonstrated favorable performance when compared to the traditional method.This suggests that by addressing these security concerns, there is the potential for broader accessibility to cloudstorage solutions for safeguarding healthcare data.

An Image Encryption Algorithm Based on BP Neural Network and Hyperchaotic System

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.

A realizable quantum encryption algorithm for qubits

A realizable quantum encryption algorithm for qubits is presented by employing bit-wise quantum computation. System extension and bit-swapping are introduced into the encryption process, which makes the ciphertext space expanded greatly. The security of the proposed algorithm is analysed in detail and the schematic physical implementation is also provided. It is shown that the algorithm, which can prevent quantum attack strategy as well as classical attack strategy, is effective to protect qubits. Finally, we extend our algorithm to encrypt classical binary bits and quantum entanglements.

A self-cited pixel summation based image encryption algorithm

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.

An image joint compression-encryption algorithm based on adaptive arithmetic coding

Through a series of studies on arithmetic coding and arithmetic encryption, a novel image joint compression- encryption algorithm based on adaptive arithmetic coding is proposed. The contexts produced in the process of image compression are modified by keys in order to achieve image joint compression encryption. Combined with the bit-plane coding technique, the discrete wavelet transform coefficients in different resolutions can be encrypted respectively with different keys, so that the resolution selective encryption is realized to meet different application needs. Zero-tree coding is improved, and adaptive arithmetic coding is introduced. Then, the proposed joint compression-encryption algorithm is simulated. The simulation results show that as long as the parameters are selected appropriately, the compression efficiency of proposed image joint compression-encryption algorithm is basically identical to that of the original image compression algorithm, and the security of the proposed algorithm is better than the joint encryption algorithm based on interval splitting.

Algebraic Cryptanalysis of GOST Encryption Algorithm

This paper observes approaches to algebraic analysis of GOST 28147-89 encryption algorithm (also known as simply GOST), which is the basis of most secure information systems in Russia. The general idea of algebraic analysis is based on the representation of initial encryption algorithm as a system of multivariate quadratic equations, which define relations between a secret key and a cipher text. Extended linearization method is evaluated as a method for solving the nonlinear sys- tem of equations.

基于全同态加密优化的云数据隐私保护方法

为了提升云数据的安全性,改善数据加密时间长以及加密效果较差等问题,提出一种基于全同态加密优化的云数据隐私保护方法。通过生成对抗网络模型学习原始数据中的重要特征,确保合成的数据和初始数据之间具有较高的相似度,使其能够满足差分隐私特征。引入PKI对数据所有者和用户身份认证处理,完成密钥的产生和分发,根据差分隐私特征将用户所有者的数据划分为不同类型,获取用户访问特征向量。构建全同态加密机制,同时引入代理重加密机制,通过密钥转换完成数据加密处理,最终实现云数据全同态加密优化。实验对比结果表明,上述加密方案能够快速完成数据加密处理,有效确保数据的安全性。

Image Encryption and Decryption Based on Chaotic Algorithm

This paper analyzes the problems in image encryption and decryption based on chaos theory. This article introduces the application of the two-stage Logistic algorithm in image encryption and decryption, then by information entropy analysis it is concluded that the security of this algorithm is higher compared with the original image;And a new image encryption and decryption algorithm based on the combination of two-stage Logistic mapping and M sequence is proposed. This new algorithm is very sensitive to keys;the key space is large and its security is higher than two-stage Logistic mapping of image encryption and decryption technology.

Analysis and Design for Unsymmetrical Block Encryption Algorithm

This article explains the imbalance in DES and introduces the operators in IDEA. At last it puts forward a Unsym-metrical Block Encryption Algorithm which is achieved by adding some operators to DES.

基于区块链加密技术的云会计数据安全探究

云会计因投入成本低、数据处理高效和业务效率高等优势而受到用户的青睐,但储在云端的数据所面临的安全问题已经成为云会计发展亟待解决的问题之一。为应对云会计数据安全问题,构建了基于区块链加密技术的云会计数据安全模型。首先,通过对云会计与区块链的回顾,明确云会计发展所面临的数据安全问题以及区块链技术与云会计融合发展的可行性;然后,引入非对称加密技术和哈希算法,以实现对云会计数据的加密安全存储和完整性检查;最后,通过分析得出区块链技术能够加强用户对其数据的控制、保障数据传输安全和增进用户与云会计服务提供商之间信任的结论。

用户恶意跨域数据安全加密共享算法仿真

在跨域数据共享场景下,涉及到多个组织或多个域的用户参与,为了保证数据安全,避免隐私信息泄露,提出了支持恶意用户追踪的跨域数据安全共享算法。将基于密文策略的属性基加密方法与白盒追踪算法和黑盒追踪算法结合。设计恶意用户追踪机制,实现对恶意用户的有效追踪。将对称加密算法和非对称加密算法相结合,生成公钥、私钥和密钥,对数据展开加解密处理,实现跨域数据安全共享。实验结果表明,所提算法的数据安全共享效果较高,在不同实验环境下均能够保持较低的内存,且信息熵较高,能够确保数据的安全性。

A New Image Watermarking Scheme Using Genetic Algorithm and Residual Numbers with Discrete Wavelet Transform

Transmission of data over the internet has become a critical issue as a result of the advancement in technology, since it is possible for pirates to steal the intellectual property of content owners. This paper presents a new digital watermarking scheme that combines some operators of the Genetic Algorithm (GA) and the Residue Number (RN) System (RNS) to perform encryption on an image, which is embedded into a cover image for the purposes of watermarking. Thus, an image watermarking scheme uses an encrypted image. The secret image is embedded in decomposed frames of the cover image achieved by applying a three-level Discrete Wavelet Transform (DWT). This is to ensure that the secret information is not exposed even when there is a successful attack on the cover information. Content creators can prove ownership of the multimedia content by unveiling the secret information in a court of law. The proposed scheme was tested with sample data using MATLAB2022 and the results of the simulation show a great deal of imperceptibility and robustness as compared to similar existing schemes.

基于AES的车联网通信加密算法

随着V2X技术发展得越来越快,车辆与其他设备的通信量以及信息重要度都在急速增长,车载信息遭到攻击从而被截取或者发生泄漏的风险也相应地大大增加,因此信息交互安全性成为了一个不可避免的研究课题。本文针对车联网传输数据量大、数据加解密操作频繁等问题,通过分析经典加密算法,进而改进传统AES加密算法,使用RC4加密算法生成伪随机密钥代替AES加密算法的密钥生成模块,优化加密时间的同时提升安全性能,并开展实验验证了其加密效率以及安全性。

融合物联网技术与混合加密算法的医疗数据信息优化框架设计研究

目前,医疗数据信息系统存在安全性低、共享难度大等问题,对此,提出一种融合物联网技术与混合加密算法的医疗数据信息优化框架,以提升医疗数据的安全。在此基础上,结合物联网的相关技术,对医疗数据采集方法进行设计。基于超级账本搭建完整的医疗数据信息框架。实验结果显示,高级加密标准(AES)算法的加密速度随着数据量的增大而增大,从而使用户能够根据要求传输任意长度的数据。利用非对称加密(RSA)算法对密码进行10次加密实验,得到了15 ms、94 ms的平均加密效果,系统加密效率较高。研究算法具有较好的工作稳定性,在功能和性能方面能够满足实际的医疗环境需要。

支持密码逆向防火墙的基于SM9的属性基可搜索加密方案

针对属性基可搜索加密(ABSE)方案大都基于非国密算法设计,且无法抵抗内部算法替换攻击(ASA)的问题,提出一种支持密码逆向防火墙的基于SM9的属性基可搜索加密方案(SM9ABSE-CRF)。该方案将国密算法SM9扩展至ABSE领域,实现了细粒度数据访问控制,并引入密码逆向防火墙(CRF)技术有效抵御ASA。分析了SM9ABSE-CRF在判定性Diffie-Hellman(DBDH)假设下满足了选择关键词下的不可区分性,并形式化证明了CRF的部署满足维持功能性、保留安全性以及抵抗泄漏性。理论分析和仿真实验结果表明,与提供CRF的ABSE方案cABKSCRF(consistent Attribute-Based Keyword Search system with CRF)相比,SM9ABSE-CRF具有更高的安全性,并且在索引与陷门生成阶段也表现出显著的性能优势。

基于混沌理论与DNA动态编码的卫星图像加密算法

针对卫星图像在传输、存储过程中涉及的信息安全问题,该文提出一种新型的基于混沌理论与DNA动态编码的卫星图像加密算法。首先,提出一种改进型无限折叠混沌映射,拓宽了原有无限折叠混沌映射的混沌区间。之后,结合改进型Chebyshev混沌映射与SHA-256哈希算法,生成加密算法的密钥流,提升算法的明文敏感性。然后,利用混沌系统的状态值对Hilbert局部置乱后的像素进行DNA编码,实现DNA动态编码,解决了DNA编码规则较少所带来的容易受到暴力攻击的弱点。最后,使用混沌序列完成进一步混沌加密,从而彻底混淆原始像素信息,增加加密算法的随机性与复杂性,得到密文图像。实验结果表明,该算法具有较好的加密效果和应对各种攻击的能力。