## Journals

- Advances in Mathematics of Communications
- Big Data & Information Analytics
- Communications on Pure & Applied Analysis
- Discrete & Continuous Dynamical Systems - A
- Discrete & Continuous Dynamical Systems - B
- Discrete & Continuous Dynamical Systems - S
- Evolution Equations & Control Theory
- Inverse Problems & Imaging
- Journal of Computational Dynamics
- Journal of Dynamics & Games
- Journal of Geometric Mechanics
- Journal of Industrial & Management Optimization
- Journal of Modern Dynamics
- Kinetic & Related Models
- Mathematical Biosciences & Engineering
- Mathematical Control & Related Fields
- Mathematical Foundations of Computing
- Networks & Heterogeneous Media
- Numerical Algebra, Control & Optimization
- AIMS Mathematics
- Conference Publications
- Electronic Research Announcements
- Mathematics in Engineering

### Open Access Journals

AMC

The aim of this paper is to reduce the number of operations in Cantor's algorithm for the Jacobian group of hyperelliptic curves for genus 4 in projective coordinates.
Specifically, we developed explicit doubling and addition formulas for genus 4 hyperelliptic curves over binary fields with $h(x)=1$. For these curves, we can perform a divisor doubling in $63M+19S$, while the explicit adding formula requires $203M+18S,$ and the mixed coordinates addition (in which one point is given in affine coordinates) is performed in $165M+15S$.

These formulas can be useful for public key encryption in some environments where computing the inverse of a field element has a high computational cost (either in time, power consumption or hardware price), in particular with embedded microprocessors.

These formulas can be useful for public key encryption in some environments where computing the inverse of a field element has a high computational cost (either in time, power consumption or hardware price), in particular with embedded microprocessors.

keywords:
projective coordinates.
,
explicit formulas
,
genus 4
,
Hyperelliptic curves
,
binary field

AMC

We describe a filtering technique improving the performance
of index-calculus algorithms for hyperelliptic curves.
Filtering is a stage taking place between the relation search
and the linear algebra. Its purpose is to eliminate
redundant or duplicate relations, as well as reducing the size of the matrix, thus decreasing the time required for the linear algebra step.

This technique, which we call

The version of harvesting presented here is an improvement over an earlier version by the same authors. By means of a new selection algorithm, time-complexity can be reduced from quadratic to linear (in the size of the input), thus making its running time effectively negligible with respect to the rest of the index calculus algorithm. At the same time we make the process of harvesting more effective - in the sense that the final matrix should (on average) be smaller than with the earlier approach.

We present an analysis of the impact of harvesting (for instance, we show that its usage can improve index calculus performance by more than 30% in some cases), we show that the impact on matrix size is essentially independent on the genus of the curve considered, and provide an heuristic argument in support of the effectiveness of harvesting as one parameter (which defines how far the relation search is pushed) increases.

This technique, which we call

*harvesting*, is in fact a new strategy that subtly alters the whole index calculus algorithm. In particular, it changes the relation search to find*many times*more relations than variables, after which a selection process is applied to the set of the relations - the harvesting process. The aim of this new process is to extract a (slightly) overdetermined submatrix which is as small as possible. Furthermore, the size of the factor base also has to be readjusted, in order to keep the (extended) relation search faster than it would have been in an index calculus algorithm without harvesting. The size of the factor base must also be chosen to guarantee that the final matrix will be indeed smaller than it would be in an optimised index calculus without harvesting, thus also speeding up the linear algebra step.The version of harvesting presented here is an improvement over an earlier version by the same authors. By means of a new selection algorithm, time-complexity can be reduced from quadratic to linear (in the size of the input), thus making its running time effectively negligible with respect to the rest of the index calculus algorithm. At the same time we make the process of harvesting more effective - in the sense that the final matrix should (on average) be smaller than with the earlier approach.

We present an analysis of the impact of harvesting (for instance, we show that its usage can improve index calculus performance by more than 30% in some cases), we show that the impact on matrix size is essentially independent on the genus of the curve considered, and provide an heuristic argument in support of the effectiveness of harvesting as one parameter (which defines how far the relation search is pushed) increases.

AMC

In this article, we deal with fast arithmetic in the Picard group of hyperelliptic
curves of
genus 3 over binary fields. We investigate both the optimal performance curves,
where $h(x)=1$, and the more general curves where the degree of $h(x)$ is 1, 2 or 3.
For the
optimal performance curves, we provide explicit halving and doubling formulas; not
only for the most frequent case but also for all possible special cases that may
occur when performing arithmetic on the proposed curves. In this situation, we
show that halving offers equivalent performance to that of doubling when computing
scalar multiples (by means of an halve-and-add algorithm) in the divisor class group.

For the other types of curves where halving may give performance gains (when the group order is twice an odd number), we give explicit halving formulas which outperform the corresponding doubling formulas by about 10 to 20 field multiplications per halving. These savings more than justify the use of halvings for these curves, making them significantly more efficient than previously thought. For halving on genus 3 curves there is no previous work published so far.

For the other types of curves where halving may give performance gains (when the group order is twice an odd number), we give explicit halving formulas which outperform the corresponding doubling formulas by about 10 to 20 field multiplications per halving. These savings more than justify the use of halvings for these curves, making them significantly more efficient than previously thought. For halving on genus 3 curves there is no previous work published so far.

keywords:
binary field
,
doubling
,
halving
,
divisor class
,
explicit formulas
,
genus 3
,
Hyperelliptic curve
,
cryptography.

AMC

By reversing reduction in divisor class arithmetic we
provide efficient trisection algorithms for supersingular Jacobians of genus $2$
curves over finite fields of characteristic $2$. With our
technique we obtain new results for these Jacobians: we show how to
find their $3$-torsion subgroup, we prove there is none with
$3$-torsion subgroup of rank $3$ and we prove
that the maximal $3$-power order subgroup is isomorphic to
either $\mathbb{Z}/3^{v}\mathbb{Z}$ or $(\mathbb{Z}/3^{\frac v2}\mathbb{Z})^2$ or $(\mathbb{Z}/3^{\frac v4}\mathbb{Z})^4$, where $v$ is the $3$-adic
valuation $v_{3}$(#Jac(C)$(\mathbb{F}_{2^m})$). Ours are the first trisection formulae available in literature.

keywords:
Hyperelliptic curve
,
explicit formulas.
,
binary field
,
trisection
,
supersingular
,
divisor class
,
genus 2

## Year of publication

## Related Authors

## Related Keywords

[Back to Top]