This paper introduces two new one-dimensional chaotic systems. They can be considered as an improvement of Logistic map, Sine map and Tent map. One is the chaotic system composed of Sine and Tent maps (STCS), the other is Logistic-Logistic chaotic system (L-LCS). Based on the two, an image encryption algorithm using dynamic row scrambling and Zigzag transformation is proposed. Firstly, the image is traversed in different directions of odd and even rows, and the results are scrambled with the chaotic sequence generated by STCS. Secondly, based on standard Zigzag scrambling idea, a special traversal method is used, that is, for the different permutation of the lower triangle and the upper triangle of the matrix (each triangular matrix does not contain the values on the main and sub diagonals) in order and direction. Then, combined with the chaotic sequence generated by L-LCS, two different diffusion formulas are used to diffuse the segmented image. Finally, this encryption scheme can also be extended to color images. Experimental simulation and performance analysis show that the encryption algorithm has better security.

An image encryption algorithm based on dynamic row scrambling and Zigzag transformation

Chaotic maps play a vital role in the development of cryptographic techniques being used in today’s world. Efficient and highly secure algorithms can be constructed based on chaotic maps. Chaotic maps have the intrinsic property of being highly sensitive to initial conditions. In this paper, we have presented a novel scheme for construction and optimization of substitution boxes (S-boxes) based on mixed two dimensional (2D) chaotic maps in which cryptographic properties of S-boxes are optimized based on initial conditions of their parent 2D chaotic map. The proposed scheme and the resulting substitution boxes are analyzed with existing cryptanalysis techniques and their results have been compared with some other algorithms available in literature. The proposed scheme has been found to be more efficacious than other algorithms. The outcomes of security analysis indicate that our proposed technique and resulting optimized non-linear component in the current era of information technology.

Application Based Construction and Optimization of Substitution Boxes Over 2D Mixed Chaotic Maps

The evergrowing virtualised information technology infrastructure is powered by cloud-centric technology around the world Cloud-based multimedia storage has become an essential aspect for users and business behemoths However, as per a survey of Norton, around 3800 breaches have been publicly disclosed with 41 billion numbers of records exposed in 2019, which is a 54% rise when compared to 2018 So the data security is a widely quoted barrier for cloud storage Ciphering the confidential images before transmission and subsequent storage in cloud database needs critical attention for techno-specific applications In image encryption, chaos-based keys can do better confusion, but the diffusion process using XOR is vulnerable to chosen plain text attack The proposed colour image encryption scheme innately uses Deoxyribo Nucleic Acid coding that blends well with chaotic cryptosystem for an efficient statistical shift The ciphered images are stored in authenticated and authorised cloud storage facilities The experimentation is carried out with the help of Amazon Web Services storage instances The proposed image encryption scheme offers a strong resistance towards the brute force, occlusion, statistical and differential attacks and yields near-zero correlation and good entropy

https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-ipr.2018.5654

Advanced framework for highly secure and cloud-based storage of colour images

Confusion is one of the most important component of modern block ciphers. The security of modern encryption scheme is based on substitution and permutation network (SP-network). The idea of SP-network was proposed by Claude Shannon in 1949. Construction of optimal confusion component (substitution box) has been a prominent topic of interest. In this article, we have proposed a new technique for the construction of S-boxes which fulfill the required cryptographic properties. Our proposed scheme utilized double affine transformation which gives nonlinearity of 112 for each primitive irreducible polynomials of degree 8. The simulation results of our proposed nonlinear component are compared with some recently suggested substitution boxes (S-boxes) which demonstrate that the proposed scheme is more capable to construct strong nonlinear component of block encryption systems.

A new construction of confusion component of block ciphers

Most of the block ciphers contain substitution-boxes as their cornerstone primitive to add requisite nonlinearity. S-boxes are responsible to ensure strong confusion and resistance to linear and differential assaults. The security of such ciphers relies on the strength of S-boxes deployed during substitution stage. It is challenging to construct cryptographically strong S-boxes that satisfy several properties such as high nonlinearity, good avalanche effect, bit-independent criteria, low differential uniformity and linear probability, etc. In this paper, we proposed to construct an S-box based on artificial bee colony optimization and chaotic map. The algorithm is designed to optimize an initial S-box to satisfy many properties. The simulation outcomes and comparison with recent proposals show that the proposed ABC optimization based algorithm performs reasonably well and construct S-box that exhibits higher security strength.

ABC Optimization Based Construction of Strong Substitution-Boxes

Optimization and experimental study of transport section lateral pressure of pipe belt conveyor

To solve the problems of the difficult feature extraction, poor feature credibility and low recognition accuracy of coal and gangue, this paper utilizes the difference in the dielectric properties of coal and gangue and in combination with a support vector machine (SVM) to propose a recognition method based on the dielectric characteristics of coal and gangue. The influence rule of the edge effect of the electrode plate on the capacitance value is analyzed when the thickness of the electrode plate changes. By changing the frequency and voltage of the excitation source, curves of the dielectric constant of coal and gangue versus frequency and voltage are obtained. Combined with the Kalman filter, the adaptive noise complete set empirical mode decomposition (CEEMDAN) denoising method is improved, which results in a signal with a higher signal-to-noise ratio and lower root mean square error after denoising. The effective value and frequency of the denoised response signal are extracted to construct the feature vector set to form the training set and test set. The data of the training set are input into the SVM to train the intelligent classification model, the test set is used to test the SVM classification effect, and the classification accuracy is 100%. Unlike these of the probabilistic neural network (PNN) intelligent classification model and the learning vector quantization (LVQ) neural network classification model, the recognition and classification accuracies of the three can reach 100%, but the classification speed of SVM is the fastest, only taking 0.007916 s, which fully reflects the feasibility and efficiency of the capacitance method in identifying coal gangue. In this paper, the capacitance method and SVM are applied to identify coal and gangue, and accurate and efficient identification results are obtained, providing a new feasible solution for research on coal gangue identification.

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Identification Method of Coal and Coal Gangue Based on Dielectric Characteristics

Dielectric and geometric feature extraction and recognition method of coal and gangue based on VMD-SVM

Multi-scale Coal and Gangue Dual-energy X-ray Image Concave Point Detection and Segmentation Algorithm

Specific to a problem that the present transmission of magnetic coupling torque was subjected to restrictions of its own structure, a hybrid magnetic coupling was proposed. Then, finite element method was adopted to carry out numerical calculations for its three-dimensional magnetic field to obtain three-dimensional magnetic field distribution of radial and axial configurations. Major influencing factors of its torque, such as lengths of axial and radial air gaps, thicknesses of axial and radial permanent magnets, the number of slots in axial copper rotor, thickness of axial and radial copper rotor, etc., were analyzed. The relevant results indicated that in certain conditions of shapes, ten magnetic poles of the axial permanent magnet rotor, nine of the radial permanent magnet rotor and nine slots from the axial copper rotor were used. Correspondingly, the axial copper rotor had a thickness of 20 mm and it was 5 mm for the radial copper rotor. Moreover, the maximum torque could reach 190 N.m approximately. If lengths of axial and radial air gaps increased, the torque may go down otherwise. Within a certain scope, the torque rose in the first place and then fell with increases in the permanent magnet thickness of axial permanent magnetic rotor, the number of axial and radial magnetic poles, the number of slots in axial copper rotor, and the thickness of axial copper rotor. Additionally, the number of slots in the axial copper rotor could not be equivalent to that of magnetic poles in axial permanent magnetic rotor. However, as the permanent magnet thickness of radial permanent magnetic rotor rose, the torque went up as well.

Shuang Wang

Papers

Optimization and experimental study of transport section lateral pressure of pipe belt conveyor

Identification Method of Coal and Coal Gangue Based on Dielectric Characteristics

Dielectric and geometric feature extraction and recognition method of coal and gangue based on VMD-SVM

Multi-scale Coal and Gangue Dual-energy X-ray Image Concave Point Detection and Segmentation Algorithm

Study on Torque Calculation for Hybrid Magnetic Coupling and Influencing Factor Analysis