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IEICE TRANSACTIONS on Fundamentals

Algorithms to Solve Massively Under-Defined Systems of Multivariate Quadratic Equations

Yasufumi HASHIMOTO

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Summary :

It is well known that the problem to solve a set of randomly chosen multivariate quadratic equations over a finite field is NP-hard. However, when the number of variables is much larger than the number of equations, it is not necessarily difficult to solve equations. In fact, when nm(m+1) (n,m are the numbers of variables and equations respectively) and the field is of even characteristic, there is an algorithm to find one of solutions of equations in polynomial time (see [Kipnis et al., Eurocrypt '99] and also [Courtois et al., PKC '02]). In the present paper, we propose two new algorithms to find one of solutions of quadratic equations; one is for the case of n ≥ (about) m2-2m 3/2+2m and the other is for the case of nm(m+1)/2+1. The first one finds one of solutions of equations over any finite field in polynomial time, and the second does with O(2m) or O(3m) operations. As an application, we also propose an attack to UOV with the parameters given in 2003.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E94-A No.6 pp.1257-1262
Publication Date
2011/06/01
Publicized
Online ISSN
1745-1337
DOI
10.1587/transfun.E94.A.1257
Type of Manuscript
Special Section PAPER (Special Section on Discrete Mathematics and Its Applications)
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