Efficient implementation of point multiplication is crucial for elliptic curve cryptographic systems. This paper presents the implementation results of an elliptic curve crypto-processor over binary fields(2 ) on binary Edwards and generalized Hessian curves using Gaussian normal basis (GNB). We demonstrate how parallelization in higher levels can be performed by full resource utilization of computing point addition and point-doubling formulas for both binary Edwards and generalized Hessian curves. Then, we employ the -coordinate differential formulations for computing point multiplication. Using a lookup-table (LUT)-based pipelined and efficient digit-level GNB multiplier, we evaluate the LUT complexity and time-area tradeoffs of the proposed crypto-processor on an FPGA. We also compare the implementation results of point multiplication on these curves with the ones on the traditional binary generic curve. To the best of the authors' knowledge, this is the first FPGA implementation of point multiplication on binary Edwards and generalized Hessian curves represented by -coordinates. Index Terms-Binary Edwards curves (BECs), elliptic curve cryptography (ECC), Gaussian normal basis (GNB), generalizedHessian curves (GHCs).

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We present a method for key compression in quantum-resistant isogeny-based cryptosystems, which reduces storage and transmission costs of per-party public information by a factor of two, with no effect on the security level of the scheme. We achieve this reduction by compressing both the representation of an elliptic curve, and torsion points on said curve. Compression of the elliptic curve is achieved by associating each j-invariant to a canonical choice of elliptic curve, and the torsion points will be represented as linear combinations with respect to a canonical choice of basis for this subgroup. This method of compressing public information can be applied to numerous isogeny-based protocols, such as key exchange, zero-knowledge identification, and public-key encryption. The details of utilizing compression for each of these cryptosystems is explained. We provide implementation results showing the computational cost of key compression and decompression at various security levels. Our results show that isogeny-based cryptosystems achieve the smallest possible key sizes among all existing families of post-quantum cryptosystems at practical security levels.iv

Abstract. As hardware capabilities increase, low-power devices such as smartphones represent a natural environment for the efficient implementation of cryptographic pairings. Few works in the literature have considered such platforms despite their growing importance in a post-PC world. In this paper, we investigate the efficient computation of the Optimal-Ate pairing over Barreto-Naehrig curves in software at different security levels on ARM processors. We exploit state-of-the-art techniques and propose new optimizations to speed up the computation in the tower field and curve arithmetic. In particular, we extend the concept of lazy reduction to inversion in extension fields, analyze an efficient alternative for the sparse multiplication used inside the Miller's algorithm and reduce further the cost of point/line evaluation formulas in affine and projective homogeneous coordinates. In addition, we study the efficiency of using M-type sextic twists in the pairing computation and carry out a detailed comparison between affine and projective coordinate systems. Our implementations on various mass-market smartphones and tablets significantly improve the state-of-the-art of pairing computation on ARM-powered devices, outperforming by at least a factor of 3.7 the best previous results in the literature.

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