TY - JOUR

T1 - A polynomial-time algorithm for solving a class of underdetermined multivariate quadratic equations over fields of odd characteristics

AU - Cheng, Chen Mou

AU - Hashimoto, Yasufumi

AU - Miura, Hiroyuki

AU - Takagi, Tsuyoshi

N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2014.

PY - 2014

Y1 - 2014

N2 - Following up a series of works by Kipnis-Patarin-Goubin, Courtois-Goubin-Meier-Tacier, and Thomae-Wolf, in PQCrypto 2013 Miura, Hashimoto, and Takagi proposed an efficient algorithm for solving a class of underdetermined multivariate quadratic equations. Their algorithm does not use any generic Gröbner-basis solving techniques and asymptotically requires the least degree of underdeterminedness among all similar algorithms in the current literature. Building on top of their work, in this paper we focus on solving polynomially underdetermined multivariate quadratic equations over fields of odd characteristics. We show that we can further improve the applicable range of the Miura- Hashimoto-Takagi algorithm essentially for free. Furthermore, we show how to allow a certain degree of trade-off between applicable range and running time. Last but not least, we show that the running time of the improved algorithm is actually polynomial in number of equations and variables. To the best of our knowledge, this is the first result showing that this class of polynomially underdetermined multivariate quadratic equations over fields of odd characteristics can be solved in polynomial time.

AB - Following up a series of works by Kipnis-Patarin-Goubin, Courtois-Goubin-Meier-Tacier, and Thomae-Wolf, in PQCrypto 2013 Miura, Hashimoto, and Takagi proposed an efficient algorithm for solving a class of underdetermined multivariate quadratic equations. Their algorithm does not use any generic Gröbner-basis solving techniques and asymptotically requires the least degree of underdeterminedness among all similar algorithms in the current literature. Building on top of their work, in this paper we focus on solving polynomially underdetermined multivariate quadratic equations over fields of odd characteristics. We show that we can further improve the applicable range of the Miura- Hashimoto-Takagi algorithm essentially for free. Furthermore, we show how to allow a certain degree of trade-off between applicable range and running time. Last but not least, we show that the running time of the improved algorithm is actually polynomial in number of equations and variables. To the best of our knowledge, this is the first result showing that this class of polynomially underdetermined multivariate quadratic equations over fields of odd characteristics can be solved in polynomial time.

UR - http://www.scopus.com/inward/record.url?scp=84921645550&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84921645550&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-11659-4_3

DO - 10.1007/978-3-319-11659-4_3

M3 - Article

AN - SCOPUS:84921645550

SN - 0302-9743

VL - 8772

SP - 40

EP - 58

JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -