Framework for Secure Substitution Box Construction and Its Application in Image Encryption

Elliptic curve (EC) based cryptosystems gained more attention due to enhanced security than the existing public key cryptosystems. A substitution box (S-box) plays a vital role in securing modern symmetric key cryptosystems. However, the recently developed EC based algorithms usually trade off between computational efficiency and security, necessitating the design of a new algorithm with the desired cryptographic strength. To address these shortcomings, this paper proposes a new scheme based on Mordell elliptic curve (MEC) over the complex field for generating distinct, dynamic, and highly uncorrelated S-boxes. Furthermore, we count the exact number of the obtained S-boxes, and demonstrate that the permuted version of the presented S-box is statistically optimal. The nonsingularity of the presented algorithm and the injectivity of the resultant output are explored. Rigorous theoretical analysis and experimental results demonstrate that the proposed method is highly effective in generating a large number of dynamic S-boxes with adequate cryptographic properties, surpassing current state-of-the-art S-box generation algorithms in terms of security. Apart from this, the generated S-box is benchmarked using side-channel attacks, and its performance is compared with highly nonlinear S-boxes, demonstrating comparable results. In addition, we present an application of our proposed S-box generator by incorporating it into an image encryption technique. The encrypted and decrypted images are tested by employing extensive standard security metrics, including the Number of Pixel Change Rate, the Unified Average Changing Intensity, information entropy, correlation coefficient, and histogram analysis. Moreover, the analysis is extended beyond conventional metrics to validate the new method using advanced tests, such as the NIST statistical test suite, robustness analysis, and noise and cropping attacks. Experimental outcomes show that the presented algorithm strengthens the existing encryption scheme against various well-known cryptographic attacks.

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Publication Details

Journal
Computers, materials & continua/Computers, materials & continua (Print)
Published
2025-12-25
DOI
https://doi.org/10.32604/cmc.2025.073097
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
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article

Framework for Secure Substitution Box Construction and Its Application in Image Encryption

Ikram Ullah, Umar Hayat, Muhammad Bilal
Computers, materials & continua/Computers, materials & continua (Print)
Chaos-based Image/Signal Encryption
article

Framework for Secure Substitution Box Construction and Its Application in Image Encryption

Ikram Ullah, Umar Hayat, Muhammad Bilal
article en

Abstract

Elliptic curve (EC) based cryptosystems gained more attention due to enhanced security than the existing public key cryptosystems. A substitution box (S-box) plays a vital role in securing modern symmetric key cryptosystems. However, the recently developed EC based algorithms usually trade off between computational efficiency and security, necessitating the design of a new algorithm with the desired cryptographic strength. To address these shortcomings, this paper proposes a new scheme based on Mordell elliptic curve (MEC) over the complex field for generating distinct, dynamic, and highly uncorrelated S-boxes. Furthermore, we count the exact number of the obtained S-boxes, and demonstrate that the permuted version of the presented S-box is statistically optimal. The nonsingularity of the presented algorithm and the injectivity of the resultant output are explored. Rigorous theoretical analysis and experimental results demonstrate that the proposed method is highly effective in generating a large number of dynamic S-boxes with adequate cryptographic properties, surpassing current state-of-the-art S-box generation algorithms in terms of security. Apart from this, the generated S-box is benchmarked using side-channel attacks, and its performance is compared with highly nonlinear S-boxes, demonstrating comparable results. In addition, we present an application of our proposed S-box generator by incorporating it into an image encryption technique. The encrypted and decrypted images are tested by employing extensive standard security metrics, including the Number of Pixel Change Rate, the Unified Average Changing Intensity, information entropy, correlation coefficient, and histogram analysis. Moreover, the analysis is extended beyond conventional metrics to validate the new method using advanced tests, such as the NIST statistical test suite, robustness analysis, and noise and cropping attacks. Experimental outcomes show that the presented algorithm strengthens the existing encryption scheme against various well-known cryptographic attacks.

Computers, materials & continua/Computers, materials & continua (Print)Vol. 87(1)
Openalex Percentile: Top 36%
Chaos-based Image/Signal Encryption
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