Cryptography Reference
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probability of I on pre-images out of S n . On the other hand, the probability that
all U ( i n 's reside in S n is small. Specifically, we define
B g U n 2 p ( n )
g 1 g U n 2 p ( n )
S n
s 1 ( n ) def
i s.t. U ( i )
n
= Pr
and
B g U n 2 p ( n ) g 1 g U n 2 p ( n ) i : U ( i )
S n
s 2 ( n ) def
= Pr
n
+ s 2 ( n ) (as the events considered in the s i 's are disjoint).
We derive a contradiction to the lower bound on s ( n ) (given in Eq. (2.7)) by
presenting upper bounds for both s 1 ( n ) and s 2 ( n ) (which sum up to less).
First, we present an upper bound on s 1 ( n ). The key observation is that algorithm
I inverts f on input f ( x ) with probability that is related to the success of B to
invert g on a sequence of random f -images containing f ( x ). Specifically, for
every x
= s 1 ( n )
Clearly, s ( n )
p ( n ), the probability that I inverts f on
f ( x ) is greater than or equal to the probability that B inverts g on g ( U n 2 p ( n ) )
conditioned on U ( i )
n
∈{
0
,
1
}
n
and every 1
i
n
·
x (since any success of B to invert g means that f was
inverted on the i th block, and thus contributes to the success probability of I ). It
follows that, for every x
=
n
∈{
0
,
1
}
and every 1
i
n
·
p ( n ),
Pr
[ I ( f ( x )) f 1 ( f ( x ))]
Pr
B g U n 2 p ( n )
g 1 g U n 2 p ( n ) U ( i )
x
=
(2.8)
n
Since for x S n the left-hand side (l.h.s.) cannot be large, we shall show that (the
r.h.s. and so) s 1 ( n ) cannot be large. Specifically, using Eq. (2.8), it follows that
i s.t. B g U n 2 p ( n ) g 1 g U n 2 p ( n ) U ( i )
S n
s 1 ( n )
= Pr
n
n · p ( n )
i = 1 Pr
B g U n 2 p ( n ) g 1 g U n 2 p ( n ) U ( i )
S n
n
n · p ( n )
x S n Pr
B g U n 2 p ( n ) g 1 g U n 2 p ( n ) U ( i )
= x
n
i = 1
n · p ( n )
x S n Pr
U ( i )
n
= x · Pr
B g U n 2 p ( n ) g 1 g U n 2 p ( n ) U ( i )
= x
=
n
i = 1
n · p ( n )
x S n
B g U n 2 p ( n )
g 1 g U n 2 p ( n ) U ( i )
x
max
Pr
=
n
i = 1
n · p ( n )
S n { Pr
[ I ( f ( x )) f 1 ( f ( x ))] }
max
x
i = 1
n 2
· p ( n )
a ( n )
n
a ( n ) =
n · p ( n ) ·
(The last inequality uses the definition of S n , and the one before it uses Eq. (2.8).)
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