Advances in Cryptology -- CRYPTO 2015: 35th Annual - download pdf or read online

By Rosario Gennaro, Matthew Robshaw

ISBN-10: 3662479885

ISBN-13: 9783662479889

ISBN-10: 3662479893

ISBN-13: 9783662479896

The volume-set, LNCS 9215 and LNCS 9216, constitutes the refereed complaints of the thirty fifth Annual foreign Cryptology convention, CRYPTO 2015, held in Santa Barbara, CA, united states, in August 2015. The seventy four revised complete papers provided have been conscientiously reviewed and chosen from 266 submissions. The papers are equipped within the following topical sections: lattice-based cryptography; cryptanalytic insights; modes and structures; multilinear maps and IO; pseudorandomness; block cipher cryptanalysis; integrity; assumptions; hash services and circulation cipher cryptanalysis; implementations; multiparty computation; zero-knowledge; conception; signatures; non-signaling and information-theoretic crypto; attribute-based encryption; new primitives; and entirely homomorphic/functional encryption.

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Extra info for Advances in Cryptology -- CRYPTO 2015: 35th Annual Cryptology Conference, Santa Barbara, CA, USA, August 16-20, 2015, Proceedings, Part I

Example text

Parallel gauss sieve algorithm: solving the svp challenge over a 128-dimensional ideal lattice. In: Krawczyk, H. ) PKC 2014. LNCS, vol. 8383, pp. 411–428. Springer, Heidelberg (2014) 20. : Improved algorithms for integer programming and related lattice problems. In: STOC, pp. 193–206 (1983) 21. : Hardness of approximating the shortest vector problem in lattices. In: FOCS, pp. 126–135 (2004) 22. : Finding the closest lattice vector when it’s unusually close. In: SODA, pp. 937–941 (2000) 23. : Private Communication (2014) 24.

2 Analyzing the Error Distribution There are many approaches to estimating the error distribution introduced by coding. The simplest way is just assuming that the value is a summation of several independent discrete Gaussian random variables. This estimation is easily performed and fairly accurate. A second approach is to compute the error distribution accurately (to sufficient precision) by computer. We should note that the error distribution is determined from the linear code employed. We now rely on some known result on lattice codes to provide a good estimate on the size of the noise introduced by coding.

In: FOCS, pp. 459–468 (2006) 7. : A sieve algorithm based on overlattices. In: ANTS, pp. 49–70 (2014) 8. : Speeding-up lattice sieving without increasing the memory, using sub-quadratic nearest neighbor search. Preprint (2015) 9. : Efficient sieving in (ideal) lattices using cross-polytopic LSH. Preprint (2015) 10. : Post-Quantum Cryptography. Springer, Heidelberg (2009) 11. : Sieving for shortest vectors in ideal lattices: a practical perspective. Cryptology ePrint Archive, Report 2014/880 (2014) 12.

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Advances in Cryptology -- CRYPTO 2015: 35th Annual Cryptology Conference, Santa Barbara, CA, USA, August 16-20, 2015, Proceedings, Part I by Rosario Gennaro, Matthew Robshaw

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