## CryptoDB

### Thomaz Oliveira

#### Publications

Year
Venue
Title
2019
JOFC
In this work, we retake an old idea that Koblitz presented in his landmark paper (Koblitz, in: Proceedings of CRYPTO 1991. LNCS, vol 576, Springer, Berlin, pp 279–287, 1991 ), where he suggested the possibility of defining anomalous elliptic curves over the base field ${\mathbb {F}}_4$ F 4 . We present a careful implementation of the base and quadratic field arithmetic required for computing the scalar multiplication operation in such curves. We also introduce two ordinary Koblitz-like elliptic curves defined over ${\mathbb {F}}_4$ F 4 that are equipped with efficient endomorphisms. To the best of our knowledge, these endomorphisms have not been reported before. In order to achieve a fast reduction procedure, we adopted a redundant trinomial strategy that embeds elements of the field ${\mathbb {F}}_{4^{m}},$ F 4 m , with m a prime number, into a ring of higher order defined by an almost irreducible trinomial. We also suggest a number of techniques that allow us to take full advantage of the native vector instructions of high-end microprocessors. Our software library achieves the fastest timings reported for the computation of the timing-protected scalar multiplication on Koblitz curves, and competitive timings with respect to the speed records established recently in the computation of the scalar multiplication over binary and prime fields.
2016
CHES
2014
EPRINT
2014
EPRINT
2013
CHES
2010
EPRINT
Luffa is a new hash algorithm that has been accepted for round two of the NIST hash function competition SHA-3. Computational efficiency is the second most important evaluation criteria used to compare candidate algorithms. In this paper, we describe a fast software implementation of the Luffa hash algorithm for the Intel Core 2 Duo platform. We explore the use of the perfect shuffle operation to improve the performance of 64-bit implementation and 128-bit implementation with the Intel Supplemental SSSE3 instructions. In addition, we introduce a new way of implementing Luffa based on a Parallel Table Lookup instruction. The timings of our 64-bit implementation (C code) resulted in a 16 to 32% speed improvement over the previous fastest implementation.