Cryptography Reference
In-Depth Information
Theorem 21.3.8 Fix l
. Let g have prime order r. Let A be a CDH (respectively,
Fixed-CDH) oracle with success probability at least > log( r ) l . Let ( g,g a ,g b ) be a
CDH instance. Let 1 > > 1 /r. Then one can obtain an oracle that solves the CDH
(respectively, Fixed-CDH) with probability at least 1
∈ N
log(2 r ) 2 / ( r 2 ) and that makes
log(2 / ) /
at most 2
queries to A (where log is the natural logarithm).
log(2 / )
so that e c
/ 2. First, call the oracle n
Proof Define c
times
on random-self-reduced instances (if the oracle is a CDH oracle then use Lemma 21.3.1 and
if the oracle is a Fixed-CDH oracle then use Exercise 21.3.2 ) of the input problem ( g,g a ,g b )
and store the resulting guesses Z 1 ,...,Z n for g ab in a list L 1 . Note that n
=
∈ R
=
=
c/
O (log( r ) l + 1 ).
=
The probability that L 1 contains at least one copy of g ab is
) c/
e c
1
(1
1
=
/ 2.
Now choose uniformly at random integers 1
1
g s 1 / ( g a ) s 2 .
s 1 ,s 2 <r and define X 2 =
g a .
Call the oracle another n times on random-self-reduced versions of the CDH instance
( g,X 2 ,g b ) and store the results Z 1 ,...,Z n in a list L 2 .
Hence, with probability
=
and is independent of X 1 =
One can show that X 2 is uniformly distributed in G
g
/ 2) 2
there is some Z i
L 1 and some Z j
(1
1
L 2
g ab and Z j =
g b ( s 1 as 2 ) . For each 1
such that Z i =
i,j
n test whether
Z s 2
i
( g b ) s 1 /Z j .
=
(21.2)
If there is a unique solution ( Z i ,Z j ) then output Z i , otherwise output
. Finding Z i can
be done efficiently by sorting L 1 and then, for each Z j
L 2 , checking whether the value
of the right-hand side of equation ( 21.2 ) lies in L 1 .
We now analyse the probability that the algorithm fails. The probability there is no
pair ( Z i ,Z j ) satisfying equation ( 21.2 ), or that there are such pairs but none of them has
Z i =
g ab ,isatmost . Hence, we now assume that a good pair ( Z i ,Z j ) exists and we want
to bound the probability that there is a bad pair (i.e., a solution to equation (21.2) for which
Z i =
g ab ). Write X 1 =
g a , X 2 =
g a (where a =
g b . Suppose ( Z,Z )
s 1
as 2 ) and Y
=
is a pair such that
Z s 2 Z =
Y s 1 .
(21.3)
Y a and Z =
Y a with probability at least 1
We claim that Z
=
1 /q . Note that if equa-
tion ( 21.3 ) holds then
Y a /Z .
( Z/Y a ) s 1
=
(21.4)
If precisely one of Z = Y a or Z = Y a holds then this equation does not hold. Hence, Z =
Y a and Z =
Y a , in which case there is precisely one value for s 1 for which equation ( 21.4 )
holds. Considering all n 2
L 2 it follows there are at most n 2 values
for s 1 , which would lead to an incorrect output for the self-corrector. Since s 1 is chosen
uniformly at random the probability of an incorrect output is at most n 2 /r . Since n
pairs ( Z,Z )
L 1 ×
log(2 r ) / one gets the result. Note that log(2 r ) 2 / ( r 2 )
O (log( r ) 2 + 2 l /r ).
=
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