2020
DOI: 10.1007/s00521-020-05304-9
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Execution examination of chaotic S-box dependent on improved PSO algorithm

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Cited by 53 publications
(24 citation statements)
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“…erefore, before using any S-box in a cryptosystem, it is important to measure its security strength and robustness. A secure S-box should take care of the performance criteria well; for example, it should have balanced component Boolean functions, nonlinearity of components functions which must be high, satisfaction of SAC and BIC criteria, low differential uniformity, and linear approximation probability to resist linear cryptanalysis and differential cryptanalysis [20,21]. In what follows, we discussed and assessed these performance parameters for our S-box and analyzed its security strength.…”
Section: S-box Performance Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…erefore, before using any S-box in a cryptosystem, it is important to measure its security strength and robustness. A secure S-box should take care of the performance criteria well; for example, it should have balanced component Boolean functions, nonlinearity of components functions which must be high, satisfaction of SAC and BIC criteria, low differential uniformity, and linear approximation probability to resist linear cryptanalysis and differential cryptanalysis [20,21]. In what follows, we discussed and assessed these performance parameters for our S-box and analyzed its security strength.…”
Section: S-box Performance Resultsmentioning
confidence: 99%
“…e obtained S-box met all the performance criteria well and was deemed suitable for encryption applications. Hematpour and Ahadpour investigated strong chaotic nonlinear map for performance improvisation of particle swarm optimization, which was then executed to optimize the S-box for high nonlinear property in [20].…”
Section: Introductionmentioning
confidence: 99%
“…In order to assess the proposed Pareto-optimized S-boxes, the security performance has been compared with other competing and existing S-boxes studies which are based meta-heuristics. Literature reveals that a number of metaheuristics have been investigated to obtain the optimized 8×8 S-boxes which includes the incorporation of Tiki-Taka algorithm (TTO) [48], Bacteria foraging optimization (BFO) [49], Fireworks Algorithm [50], Jaya optimization [51], Cuckoo search (CS) [52], Human behaviour based optimization (HBBO) [53], Genetic algorithms (GA) [20], Sine-cosine optimization (SCO) [54], Firefly algorithm [24], Teaching-learning based optimization (TLBO) [25], I-Chings optimization (ICO) [26], Ant colony optimization (ACO) [22], Artificial bee colony optimization (ABC) [23], and Particle swarm optimization (PSO) [55]. The Paretooptimal S-boxes from the first front from proposed method are compared.…”
Section: Perfromance Comparison With Other Optimization Based S-boxesmentioning
confidence: 99%
“…In order to better demonstrate the performance of the proposed S-box, the S-box generated by several recently proposed representative algorithms was analyzed [21][22][23][24][25][26], and the results are shown in Table 6. It can be seen that the proposed S-box was distinguished in all aspect.…”
Section: Performance Comparisonmentioning
confidence: 99%
“…For example, encryption using DNA computing requires definitions of DNA addition and subtraction, which make the implementation far more difficult and, thus, make the speed of encryption slower. However, the substitution box (S-box), as a square matrix, becomes a key part of the block cipher, achieving a non-linear transformation of the input, and it is widely used because of high speed and security [21][22][23][24][25][26].…”
Section: Introductionmentioning
confidence: 99%