IACR News item: 12 October 2015
Koh-ichi Nagao
ePrint Reportof ECDLP over $\\bF_{2^n}$, where $n$ is the input size, is
$O(2^{n^{1/2+o(1)}})$.
In his manuscript, the cost for solving equations system is $O((nm)^{4w})$,
where $m$ ($2 \\le m \\le n$) is the number of decomposition
and $w \\sim 2.7$ is the linear algebra constant.
It is remarkable that the cost for solving equations system under the
first fall degree assumption, is poly in input size $n$.
He uses normal factor base and the revalance of \"Probability that
the decomposition success\" and \"size of factor base\" is done.
%So that the result is induced.
Here, using disjoint factor base to his method,
\"Probability that the decomposition success becomes $ \\sim 1$ and
taking the very small size factor
base is useful for complexity point of view.
Thus we have the result that states \\\\
\"Under the first fall degree assumption,
the cost of ECDLP over $\\bF_{2^n}$, where $n$ is the input size, is $O(n^{8w+1})$.\"
Moreover, using the authors results,
in the case of the field characteristic $\\ge 3$, the first fall
degree of desired equation system is estimated by $\\le 3p+1$.
(In $p=2$ case, Semaev shows it is $\\le 4$. But it is exceptional.)
So we have similar result that states \\\\
\"Under the first fall degree assumption,
the cost of ECDLP over $\\bF_{p^n}$, where $n$ is the input size and (small) $p$ is a constant, is $O(n^{(6p+2)w+1})$.
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