New Complexity Estimation on the Rainbow-Band-Separation Attack

Author(s):  
Shuhei Nakamura ◽  
Yasuhiko Ikematsu ◽  
Yacheng Wang ◽  
Jintai Ding ◽  
Tsuyoshi Takagi
2015 ◽  
Vol 12 (2) ◽  
pp. 369-382 ◽  
Author(s):  
Hyunho Jo ◽  
Seanae Park ◽  
Donggyu Sim

1996 ◽  
Vol 63 (2) ◽  
pp. 286-289
Author(s):  
S. A. Zilov ◽  
V. V. Chumak ◽  
V. A. Grigorov ◽  
M. A. Perov

Radiotekhnika ◽  
2021 ◽  
pp. 85-93
Author(s):  
G.А. Maleeva

Multidimensional public key cryptography is a candidate for post-quantum cryptography, and it makes it possible  to generate particularly short signatures and quick verification. The Rainbow signature scheme proposed by J. Dean and D. Schmidt is such a multidimensional cryptosystem and it is considered to be protected against all known attacks. The need for research on Rainbow ES is justified by the fact that there is a need to develop and adopt a post-quantum national securities standard, and that in the process of the US NIST competition on the mathematical basis of cryptographic transformation method Rainbow, promising results. Therefore, it is considered important to take them into account and use them in Ukraine. The Rainbow signature scheme can be implemented simply and efficiently using linear algebra methods over a small finite field and, in particular, creates shorter signatures than those used in RSA and other post-quantum signatures [1]. In the 2nd round of NIST PQC, protected sets of Rainbow parameters are offered and several attacks on them are analyzed [1]. When comparing ES, preference is given to ES algorithms that have been selected according to unconditional criteria, as well as those that have better indicators for integral conditional criteria, because such a technique is more rational. In particular, the Rainbow-Band-Separation (RBS) attack [2] is the best known Rainbow attack with a certain set of parameters and is important. The Rainbow-Band-Separation attack restores the Rainbow secret key by solving certain systems of quadratic equations, and its complexity is measured by a well-known measure called the degree of regularity. However, as a rule, the degree of regularity is greater than the degree of solution in experiments, and it is impossible to obtain an accurate estimate. The paper proposes a new indicator of the complexity of the Rainbow-Band-Separation attack using  F4 algorithm, which gives a more accurate estimate compared to the indicator that uses the degree of regularity. The aim of the work is a comparative analysis of ES based on MQ-transformations on the criterion of stability-complexity and an attempt to understand the security of Rainbow against RBS attack using F4.


2010 ◽  
Vol 7 (1) ◽  
pp. 1-6
Author(s):  
Maneesha Srivastav ◽  
Yogesh Singh ◽  
Yogesh Singh ◽  
Durg Singh Chauhan

Entropy ◽  
2020 ◽  
Vol 22 (7) ◽  
pp. 724
Author(s):  
Alberto Porta ◽  
José Fernando Valencia ◽  
Beatrice Cairo ◽  
Vlasta Bari ◽  
Beatrice De Maria ◽  
...  

It has been suggested that a viable strategy to improve complexity estimation based on the assessment of pattern similarity is to increase the pattern matching rate without enlarging the series length. We tested this hypothesis over short simulations of nonlinear deterministic and linear stochastic dynamics affected by various noise amounts. Several transformations featuring a different ability to increase the pattern matching rate were tested and compared to the usual strategy adopted in sample entropy (SampEn) computation. The approaches were applied to evaluate the complexity of short-term cardiac and vascular controls from the beat-to-beat variability of heart period (HP) and systolic arterial pressure (SAP) in 12 Parkinson disease patients and 12 age- and gender-matched healthy subjects at supine resting and during head-up tilt. Over simulations, the strategies estimated a larger complexity over nonlinear deterministic signals and a greater regularity over linear stochastic series or deterministic dynamics importantly contaminated by noise. Over short HP and SAP series the techniques did not produce any practical advantage, with an unvaried ability to discriminate groups and experimental conditions compared to the traditional SampEn. Procedures designed to artificially increase the number of matches are of no methodological and practical value when applied to assess complexity indexes.


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