A Power Associative Loop Structure for the Construction of Non-Linear Components of Block Cipher

Hussain, Sadam; Jamal, Sajjad Shaukat; Shah, Tariq; Hussain, Iqtadar

doi:10.1109/access.2020.3005087

Cited by 42 publications

(25 citation statements)

References 33 publications

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“…The correlation coefficients of different images are given in Table 1. [22] 0.0487 Ref. [23] 0.0293 Ref.…”

Section: Experimentation and Resultsmentioning

confidence: 99%

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Image Encryption Based on Matrix Factorization

Khalane¹,

Suralkar²,

Bhadade³

2020

IJSSE

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In this paper, we present a matrix decomposition-based approach for image cryptography. The proposed method consists of decomposing the image into different component and scrambling the components to form the image encryption technique. We use two different type of matrix decomposition techniques to check the efficiency of proposed encryption method. The decomposition techniques used are Independent component analysis (ICA) and Non-Negative Matrix factorization (NMF). The proposed technique has unique user defined parameters (key) such as decomposition method, number of decomposition components and order in which the components are arranged. The unique encryption technique is designed on the basis of these key parameters. The original image can be reconstructed at the decryption end only if the selected parameters are known to the user. The design examples for both decomposition approaches are presented for illustration purpose. We analyze the complexity and encryption time of cryptography system. Results prove that the proposed scheme is more secure as it has less correlation between the input image and the encrypted version of the same as compared to state-of-art methods. The computation time of the proposed approach is found to be comparable.

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“…The correlation coefficients of different images are given in Table 1. [22] 0.0487 Ref. [23] 0.0293 Ref.…”

Section: Experimentation and Resultsmentioning

confidence: 99%

“…The correlation coefficient of Lena image using ICA algorithm is tabulated in Table 2. The proposed correlation coefficient of Lena is 0.0017 which is better than state of art algorithm [22][23][24][25][26]. Similarly, the correlation coefficient of Baboon image using ICA algorithm is tabulated in Table 3.…”

Section: Imagementioning

confidence: 90%

Image Encryption Based on Matrix Factorization

Khalane¹,

Suralkar²,

Bhadade³

2020

IJSSE

View full text Add to dashboard Cite

show abstract

“…This criterion to evaluate the strength of an S-Box guarantees that 50% output bits should change due to a change in one input bit [58,59,67]. Consequently, a SAC score of 0.5 for a given S-box is desired.…”

Section: Strict Avalanche Criterion (Sac)mentioning

confidence: 99%

Dynamic S-Box Design Using a Novel Square Polynomial Transformation and Permutation

et al. 2021

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New era ciphers employ substitution boxes (S-boxes) which assist in the provision of security for the plaintext in the encryption phase and transforming the ciphertext on the receiver side into original plaintext in the decryption phase. The overall security of a given cipher engaging an S-box greatly depends on the cryptographic forte of the respective S-box. Consequently, many researchers have used different innovative approaches to construct robust S-Boxes. In this article, an innovative and modest square polynomial transformation, the very first time, along with a novel affine transformation and a pioneering permutation approach to construct dynamic S-boxes is proposed. The proposed method has the capability to erect a huge number of robust S-boxes by applying minute changes in the parameters of transformation and permutation processes. An example S-Box is generated, and its recital analysis has been done using typical criteria including bijectivity, strict avalanche criterion, nonlinearity, bit independence criterion, linear probability, differential probability, and fixed-point analysis to check its cryptographic forte. This performance of the proposed S-box is placed side by side against state-of-the-art S-boxes to prove its strength. The performance and comparative analyses authenticate that the projected S-box possesses the true competence for its application in modern-day ciphers.

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“…The piecewise linear chaotic system and the traveling salesman problem were explored by Musheer et al [11] to construct a powerful S-box. An important algebraic procedure was suggested in [12] to build a robust Substitution box. The authors employed 16 S permutations and associative loops in their S-box design structure.…”

Section: Introductionmentioning

confidence: 99%

Cryptanalysis of Novel Image Encryption Scheme Based on Multiple Chaotic Substitution Boxes

et al. 2021

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In current years many chaos-based Substitution boxes (S-boxes) have been proposed. Recently, an image encryption technique based on multiple chaotic S-box was offered. This encryption method was based on the concept of confusion only produced by the implementation of the S-box. The concept of confusion utilized in the understudy technique can be smashed by using just one chosen-plaintext attack and a chosen-ciphertext attack. This article presents a detailed structure of two types of cryptographic attacks on the diffusion-based encryption scheme. The proposed attacks are successfully performed to retrieve the key with very little execution time by using just one chosen image which indicates the vulnerability of multiple chaotic S-boxes-based cryptosystems. The retrieved data is passed through some statistical analysis such as correlation, histogram, and entropy to check the correctness of recovered data.

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A Power Associative Loop Structure for the Construction of Non-Linear Components of Block Cipher

Cited by 42 publications

References 33 publications

Image Encryption Based on Matrix Factorization

Image Encryption Based on Matrix Factorization

Dynamic S-Box Design Using a Novel Square Polynomial Transformation and Permutation

Cryptanalysis of Novel Image Encryption Scheme Based on Multiple Chaotic Substitution Boxes

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