Algebraic Informatics: 5th International Conference, CAI by Gul Agha (auth.), Traian Muntean, Dimitrios Poulakis, Robert

By Gul Agha (auth.), Traian Muntean, Dimitrios Poulakis, Robert Rolland (eds.)

This publication constitutes the refereed court cases of the fifth overseas convention on Algebraic Informatics, CAI 2013, held in Porquerolles, France in September 2013. the nineteen revised complete papers awarded including five invited articles have been rigorously reviewed and chosen from a variety of submissions. The papers disguise subject matters equivalent to facts versions and coding idea; primary points of cryptography and defense; algebraic and stochastic versions of computing; good judgment and software modelling.

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Smaller decoding exponents: Ball-collision decoding. In: Rogaway, P. ) CRYPTO 2011. LNCS, vol. 6841, pp. 743–760. Springer, Heidelberg (2011) 42 P. V´eron 19. : Smaller decoding exponents: Ball-collision decoding. In: Rogaway, P. ) CRYPTO 2011. LNCS, vol. 6841, pp. 743–760. Springer, Heidelberg (2011) 20. : Wild McEliece. R. ) SAC 2010. LNCS, vol. 6544, pp. 143–158. Springer, Heidelberg (2011) 21. : Fpga implementation of a recently published signature scheme. Tech. Rep. 5158, Inria (March 2004) 22.

196, pp. 47–53. Springer, Heidelberg (1985) 96. : Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer. In: Proceedings of the 35th Annual Symposium on Foundations of Computer Science, pp. 20–22 (1994) 46 P. V´eron 97. : A Timing Attack against Patterson Algorithm in the McEliece PKC. , Hong, S. ) ICISC 2009. LNCS, vol. 5984, pp. 161–175. Springer, Heidelberg (2010) 98.

There is a common data shared by all users (from which the public identication is derived) which is very large, typically 66 Kbits. In Fiat Shamir’s scheme, this common data is 1024 bits long. In [30], using the q-SD problem, the authors proposed a 5-pass identification scheme for which the success probability of a cheater is 1/2, reducing this way the number of rounds needed for an identification process. Using quasi dyadic codes, they also reduce the size of the public data. We sum up in table 10 the characteristics of this different improvements when applied to various code based schemes.

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