Description
In this talk, we focus on class group computations in number fields. We start by describing an algorithm for reducing the size of a defining polynomial of a number field. There exist infinitely many polynomials that define a specific number field, with arbitrarily large coefficients, but our algorithm constructs the one that has the absolutely smallest coefficients. The advantage of knowing such a ``small'' defining polynomial is that it makes calculations in the number field easier because smaller values are involved. In addition, thanks to such a small polynomial, one can use specific algorithms that are more efficient than the general ones for class group computations.<br/> The generic algorithm to determine the structure of a class group is based on ideal reduction, where ideals are viewed as lattices. We describe and simplify the algorithm presented by Biasse and Fieker in 2014 at ANTS and provide a more thorough complexity analysis for it. We also examine carefully the case of number fields defined by a polynomial with small coefficients. We describe an algorithm similar to the Number Field Sieve, which, depending on the field parameters, may reach the hope for complexity L(1/3). Finally, our results can be adapted to solve an associated problem: the Principal Ideal Problem. Given any basis of a principal ideal (generated by a unique element), we are able to find such a generator. As this problem, known to be hard, is the key-point in several homomorphic cryptosystems, the slight modifications of our algorithms provide efficient attacks against these cryptographic schemes.
Prochains exposés
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Comprehensive Modelling of Power Noise via Gaussian Processes with Applications to True Random Number Generators
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Cryptography
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TRNG
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Cryptography
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