volume 376 pages 125153

Cryptanalysis and constructing S-Box based on chaotic map and backtracking

Hongjun Liu 1
Abdurahman Kadir 2
Chengbo Xu 1
Publication typeJournal Article
Publication date2020-07-01
scimago Q1
wos Q1
SJR0.890
CiteScore7.9
Impact factor3.4
ISSN00963003, 18735649
Computational Mathematics
Applied Mathematics
Abstract
In recent years, a large number of S-Box design schemes have been proposed. However, after detection we found that most of them contain fixed point or reverse fixed point, which may be an exploitable weakness in cryptography. In order to design a strong S-Box construction algorithm, and eliminate fixed point and reverse fixed point intelligently, we first designed an improved coupling quadratic map (ICQM), which is surjective and has good ergodicity and randomness, verified by bifurcation diagram, Lyapunov exponent and strict randomness testing tool of TestU01. Then we reconstructed a keyed strong S-Box scheme without weakness based on ICQM and backtracking. Experiments results indicated the effectiveness of the proposed S-Box construction scheme.
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Liu H., Kadir A., Xu C. Cryptanalysis and constructing S-Box based on chaotic map and backtracking // Applied Mathematics and Computation. 2020. Vol. 376. p. 125153.
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Liu H., Kadir A., Xu C. Cryptanalysis and constructing S-Box based on chaotic map and backtracking // Applied Mathematics and Computation. 2020. Vol. 376. p. 125153.
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RIS Copy
TY - JOUR
DO - 10.1016/j.amc.2020.125153
UR - https://doi.org/10.1016/j.amc.2020.125153
TI - Cryptanalysis and constructing S-Box based on chaotic map and backtracking
T2 - Applied Mathematics and Computation
AU - Liu, Hongjun
AU - Kadir, Abdurahman
AU - Xu, Chengbo
PY - 2020
DA - 2020/07/01
PB - Elsevier
SP - 125153
VL - 376
SN - 0096-3003
SN - 1873-5649
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2020_Liu,
author = {Hongjun Liu and Abdurahman Kadir and Chengbo Xu},
title = {Cryptanalysis and constructing S-Box based on chaotic map and backtracking},
journal = {Applied Mathematics and Computation},
year = {2020},
volume = {376},
publisher = {Elsevier},
month = {jul},
url = {https://doi.org/10.1016/j.amc.2020.125153},
pages = {125153},
doi = {10.1016/j.amc.2020.125153}
}