An Efficient Generation and Security Analysis of Substitution Box Using Fingerprint Patterns

The substitution box (S-box) plays a vital role in creating confusion during the encryption process of digital data. The quality of encryption schemes depends upon the S-box. There have been several attempts to enhance the quality of the S-box by using fractal chaotic mechanisms. However, there is still weakness in the robustness against cryptanalysis of fractal-based S-boxes. Due to their chaotic behavior, fractals are frequently employed to achieve randomness by confusion and diffusion process. A complex number-based S-box and a chaotic map diffusion are proposed to achieve high nonlinearity and low correlation. This study proposed a Mandelbrot set S-box construction based on the complex number and Chen chaotic map for resisting cryptanalytic attacks by creating diffusion in our proposed algorithm. The cryptosystem was built on the idea of substitution permutation networks (SPN). The complex nature of the proposed S-box makes it more random than other chaotic maps. The robustness of the proposed system was analyzed by different analysis properties of the S-box, such as nonlinearity, strict avalanche criterion, Bit independent criterion, and differential and linear probability. Moreover, to check the strength of the proposed S-box against differential and brute force attacks, we performed image encryption with the proposed S-box. The security analysis was performed, including statistical attack analysis and NIST analysis. The analysis results show that the proposed system achieves high-security standards than existing schemes.

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“…The correlation coefficient can be represented mathematically as an adapted Eqs. (21) to 23 ( Şengel, Aydın & Sertbaş, 2020 ) below. …”

Section: Discussionmentioning

confidence: 99%

A strong construction of S-box using Mandelbrot set an image encryption scheme

Aslam

Beg

Anjum

et al. 2022

PeerJ Computer Science

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“…The analysis of results was carried out using the majority logic criterion and other metrics. In [14], the authors considered a design applying biometrics. In this case, characteristics of the fingerprints were used for the construction of substitution boxes.…”

Section: State Of the Artmentioning

confidence: 99%

Stochastic Fractal Search Algorithm Improved with Opposition-Based Learning for Solving the Substitution Box Design Problem

2022

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The main component of a cryptographic system that allows us to ensure its strength against attacks, is the substitution box. The strength of this component can be validated by various metrics, one of them being the nonlinearity. To this end, it is essential to develop a design for substitution boxes that allows us to guarantee compliance with this metric. In this work, we implemented a hybrid between the stochastic fractal search algorithm in conjunction with opposition-based learning. This design is supported by sequential model algorithm configuration for the proper parameters configuration. We obtained substitution boxes of high nonlinearity in comparison with other works based on metaheuristics and chaotic schemes. The proposed substitution box is evaluated using bijectivity, the strict avalanche criterion, nonlinearity, linear probability, differential probability and bit-independence criterion, which demonstrate the excellent performance of the proposed approach.

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“…Here, we propose a method of constructing S-boxes using the fingerprint features of the sender [19] and Zigzag transformation-based permutation [20] for improving the performance of the S-box. The key reason for using fingerprint feature are as follows; fingerprint is unique for a human being, unpredictable in nature, and non-transferrable.…”

Section: Research Gap and Motivationmentioning

confidence: 99%

Construction of Key-dependent S-box for Secure Cloud Storage

Indumathi¹,

Sumathi²

2022

Intelligent Automation &Amp; Soft Computing

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As cloud storage systems have developed and been applied in complex environments, their data security has become more prevalent in recent years. The issue has been approached through many models. Data is encrypted and stored in these models. One of the most widely used encryption methods is the Advanced Encryption Standard (AES). In AES, the Substitution box(S-box) is playing a significant part in imparting the job of confusion. The security of the entire cryptosystem depends on its nonlinearity. In this work, a robust and secure S-box is constructed using a novel method, i.e., fingerprint features-based permutation function. Two stages are considered to construct a strong S-box. Firstly, random numbers are generated from the fingerprint features such as bifurcation and ridge endings of the user transmitting data. Subsequently, the permutation function is adapted on the random numbers (developed in the first stage) to augment the strength of the S-box. National Institute of Standards and Technology (NIST) STS 800-22 test suite is considered to evaluate the randomness of the enhanced fingerprint-based S-box. Also, the robustness of the constructed S-box is tested using cryptographical properties, namely Strict Avalanche Criterion (SAC), Nonlinearity (NL), Differential Approximation (DA) probability and output Bits Independence Criterion (BIC). Later, the cryptographical properties of the proposed S-box are compared with several existing S-boxes. After analyzing the characteristics of the proposed scheme, it is revealed that the newly constructed S-box is powerful, robust, and safe against linear and differential assaults.

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An Efficient Generation and Security Analysis of Substitution Box Using Fingerprint Patterns

Cited by 17 publications

References 60 publications

A strong construction of S-box using Mandelbrot set an image encryption scheme

A strong construction of S-box using Mandelbrot set an image encryption scheme

Stochastic Fractal Search Algorithm Improved with Opposition-Based Learning for Solving the Substitution Box Design Problem

Construction of Key-dependent S-box for Secure Cloud Storage

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