Alzaidi, Amer Awad and Ahmad, Musheer and Ahmed, Hussam S. and Al Solami, Eesa (2018) Sine-cosine optimization-based bijective substitution-boxes construction using enhanced dynamics of chaotic map. Complexity, 2018 (9389065). pp. 1-17. ISSN 1076-2787. (Published)
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Abstract
This paper proposes a novel method of constructing strong substitution-boxes (S-boxes) of order n (4 ≤ n ≤ 8) based on a recent optimization algorithm known as sine-cosine algorithm (SCA). The paper also proposes a new 1D chaotic map, which owns enhanced dynamics compared to conventional chaotic map, for generating initial population of S-boxes and facilitating the optimization mechanism of SCA. The proposed method applies the SCA with enhanced chaotic map to explore and exploit the search space for obtaining optimized S-boxes on the basis of maximization of nonlinearity as fitness function. The S-box construction involves three phases such as initialization of population, optimization, and adjustment. The simulation and performance analyses are done using standard measures of nonlinearity, strict avalanche criterion, bits independence criterion, differential uniformity, linear approximation probability, and autocorrelation function. The obtained experimental results are compared with some immediate optimization-based and other S-boxes to show the strength of proposed method for constructing bijective S-boxes of salient cryptographic features.
| Item Type: | Article |
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| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Autocorrelation functions; Differential uniformity; Linear approximations; Optimization algorithms; Performance analysis; Sine-cosine algorithm; Strict avalanche criterion; Substitution boxes |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Faculty/Division: | Faculty of Computer System And Software Engineering Institute of Postgraduate Studies |
| Depositing User: | Mrs Norsaini Abdul Samat |
| Date Deposited: | 07 Nov 2022 09:48 |
| Last Modified: | 07 Nov 2022 09:48 |
| URI: | http://umpir.ump.edu.my/id/eprint/29369 |
| Download Statistic: | View Download Statistics |
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