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English

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10670/1.i1wnls

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Algebraic Approach for Code Equivalence

Abstract

Code equivalence problem plays an important role in coding theory and code based cryptography.That is due to its significance in classification of codes and also construction and cryptanalysis of code based cryptosystems. It is also related to the long standing problem of graph isomorphism, a well-known problem in the world of complexity theory. We introduce new method for solving code equivalence problem. We develop algebraic approaches to solve the problem in its permutation and diagonal versions. We build algebraic system by establishing relations between generator matrices and parity check matrices of the equivalent codes. We end up with system of multivariables of linear and quadratic equations which can be solved using algebraic tools such as Groebner basis and related techniques. By using Groebner basis techniques we can solve the code equivalence but the computation becomes complex as the length of the code increases. We introduced several improvements such as block linearization and Frobenius action. Using these techniques we identify many cases where permutation equivalence problem can be solved efficiently. Our method for diagonal equivalence solves the problem efficiently in small fields, namely F3 and F4. The increase in the field size results in an increase in the number of variables in our algebraic system which makes it difficult to solve. We introduce a new reduction from permutation code equivalence when the hull is trivial to graph isomorphism. This shows that this subclass of permutation equivalence is not harder than graph isomorphism.Using this reduction we obtain an algebraic system for graph isomorphism with interesting properties in terms of the rank of the linear part and the number of variables. We solve the graph isomorphism problem efficiently for random graphs with large number of vertices and also for some regular graphs such as Petersen, Cubical and Wagner Graphs.

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