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Computational methods in discrete mathematics
DPLL-like satisfiability problem solver over the system of ANF equations
A. V. Tkacheva, K. V. Kalginab a Novosibirsk State University
b Institute of Computational Mathematics and Mathematical Geophysics of Siberian Branch of Russian Academy of Sciences, Novosibirsk
Abstract:
In the paper, we describe SAT solver for problems in ANF and show how typical SAT techniques can be implemented to work with ANF. This solver is compared to a number of classic SAT solvers on cryptanalysis problems (such as “guess-and-determine” attack on Grain stream cipher). The solver uses such techniques as Propagation of Constants, Propagation of Synonyms, Watched Monomials (2WM), equations simplification and variable selection order. Our experiments show that for “init=no” case this ANF solver works similarly to typical CNF SAT solvers, but in the “init=yes” case the latter fail where the ANF solver finds a solution. Based on the data we've gathered we make a conclusion that it is impractical to use SAT solvers to attack Grain in “init=no” case. For the future research, we want to make experiments with more ciphers and solvers, explore why modern CNF SAT solvers work slower than the ANF solver and adapt more SAT techniques into our implementation.
Keywords:
SAT solver, ANF, cryptanalysis, stream ciphers.
Citation:
A. V. Tkachev, K. V. Kalgin, “DPLL-like satisfiability problem solver over the system of ANF equations”, Prikl. Diskr. Mat. Suppl., 2021, no. 14, 187–190
Linking options:
https://www.mathnet.ru/eng/pdma563 https://www.mathnet.ru/eng/pdma/y2021/i14/p187
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Abstract page: | 93 | Full-text PDF : | 43 | References: | 16 |
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