Dynamic S-BOX base on primitive polynomial and chaos theory

F, Alaa Kadhim; Kamal, Zainab Ali

doi:10.1109/iiceta.2018.8458093

2018 International Conference on Engineering Technology and Their Applications (IICETA) 2018

DOI: 10.1109/iiceta.2018.8458093

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Dynamic S-BOX base on primitive polynomial and chaos theory

Alaa Kadhim F

Zainab Ali Kamal

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2022

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Cited by 3 publications

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“…Where the state variable is defined by the parameter r, r is [1,4], and the control parameter [25]. is considered.…”

mentioning

confidence: 99%

A New Image Encryption Algorithm Based on Multi Chaotic System

Abdallah

Farhan

2022

eijs

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In recent years, encryption technology has been developed rapidly and many image encryption methods have been put forward. The chaos-based image encryption technique is a modern encryption system for images. To encrypt images, it uses random sequence chaos, which is an efficient way to solve the intractable problem of simple and highly protected image encryption. There are, however, some shortcomings in the technique of chaos-based image encryption, such limited accuracy issue. The approach focused on the chaotic system in this paper is to construct a dynamic IP permutation and S-Box substitution by following steps. First of all, use of a new IP table for more diffusion of all image pixels based on a 1D logistic map to build IP table. Secondly, a new S-Box based on 2D-Henon chaos was created using more confusion to replace G-channel image data. Finally, design of a modern image encryption approach. This approach uses the key process confusion and diffusion operation and depend on IP and S-Box proposals in the encryption process and several shuffling operations using the 3D- Lornez chaos theory. Theoretical research and simulation suggest that starting sensitivity value of this method is high, has high protection, and encryption speed. Moreover, it also holds the value of the neighboring RGB close to zero. The studies show that the information security capabilities would be both safer and more efficient, as a result of our image quality assessment study. Number of Differential Pixel Rate Change Attacks (NPSR), Unified Average Altered Intensity (UACI), are quality and strength of encryption processing are proved by pixel correlation, Entropy to be good results.

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“…Where the state variable is defined by the parameter r, r is [1,4], and the control parameter [25]. is considered.…”

mentioning

confidence: 99%

A New Image Encryption Algorithm Based on Multi Chaotic System

Abdallah

Farhan

2022

eijs

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Multi Chaotic System to Generate Novel S-Box for Image Encryption

Nasry

Abdallah²,

Farhan³

et al. 2022

J. Phys.: Conf. Ser.

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A novel method on the basis of multi chaos theory is suggested in the presented study. Also, the study used two different dimensions to generate S-Box to get a strong cipher that is difficult to break. The suggested image cryptosystem includes an identical (decryption and encryption) process, which involves a single keystream generator, shifting process (based on 3D Lorenz map) related diffusion operations, and generate S-Box (based on 2D Henon map) that related confusion operation. The comparative analysis and the simulate test show that the suggested image cryptosystem has a few properties, like high-sensitivity, fast encryption/decryption, large keyspace, excellent statistical properties related to the ciphertext, and so on. The suggested cryptosystem is considered as an alternative for practical secure communications.

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Smart Web Service of Ti-Based Alloy’s Quality Evaluation for Medical Implants Manufacturing

et al. 2022

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The production of biocompatible medical implants is accompanied by technological and time costs. As a result, to be used in the human body, such a product must be of the highest quality. Assessing the quality of biomedical implants made of titanium alloys is relevant given their impact on the health and life of their wearer. In the case of the production of such implants by additive technologies, an important task is to evaluate the properties of the alloys from which it is made. The modern development of Artificial Intelligence allows replacing traditional assessment methods with machine learning methods for such assessment. Existing machine learning methods demonstrate very low classification accuracy, and existing hybrid systems, although increasing classification accuracy, are not sufficient to apply such schemes in practice. The authors improved the hybrid PNN-SVM system to solve this problem in this paper. It is based on the combining use of PNN, Ito Decomposition, and SVM. The PNN’s summation layer outputs were used as additional attributes to an initial dataset. Ito decomposition was used to nonlinearly model relationships between features of an extended dataset. Further classification is carried out using SVM with a linear kernel. The proposed approach’s modeling is performed based on a real-world dataset using the smart web service designed by the authors. Experimentally found an increase in the classification accuracy by 6% of the proposed system compared to existing ones. It makes it possible to use it in practice. Designed smart web service, in which the authors implemented both improved and existing hybrid classification schemes allows to quickly, easily, and without high qualification of the user to implement and explore in more detail chosen classification scheme when classification tasks in various fields of industry.

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Dynamic S-BOX base on primitive polynomial and chaos theory

Cited by 3 publications

References 1 publication

A New Image Encryption Algorithm Based on Multi Chaotic System

A New Image Encryption Algorithm Based on Multi Chaotic System

Multi Chaotic System to Generate Novel S-Box for Image Encryption

Smart Web Service of Ti-Based Alloy’s Quality Evaluation for Medical Implants Manufacturing

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