Cryptography Reference
In-Depth Information
By combining equations ( 1.15 ) and ( 1.16 ) we obtain
w
x
X
·E[p x (1−p) w−x · (C p (w,x)) 2 ] = w
(1.17)
x=0
This completes the proof of the lemma.
The following lemma is quite critical and its proof is the one that primarily
accounts for the particular choice of the p distribution.
Lemma 1.25. For any w ∈ N and x ∈{0,1,.. . ,w}, and p = sin 2 (r) where r
is uniform over [t 0 ,π/2−t 0 ] with t 0 = arcsin( t) and t ∈ (0, 2 ), it holds that
H x = E[p x (1−p) w−x ·C p (w,x)]
=
π−4t 0 · ((1−t) x t w−x −t x (1−t) w−x )
1
Proof. By definition we have
E[p x (1−p) w−x · (xq− (w−x)/q))]
=
π/2−2t 0 · R π/2−t 0
1
sin 2x r cos 2(w−x) r(xcot r− (w−x) tanr)dr
t 0
π/2−2t 0 · [ 2 sin 2x r cos 2(w−x) r] π/2−t 0
1
=
t 0
from which the statement of the lemma follows easily.
M x . Given that e u
1+u+u 2 for any u < 1.7, assume that α is selected so that −αC p (w,x) < 1.7
for all feasible choices of p,x. It follows that:
We next proceed to provide a bound for P x=0 x
e −α·C p (w,x) ≤ 1−α·C p (w,x) + α 2 · (C p (w,x)) 2
under the condition that
p,w C p (w,x) < 1.7 ⇐= α < 1.7
t
α·max
(1.18)
w
Based on this we obtain that for x ∈{1,...,w−1},
M x ≤ max{Z x ±α·H x + α 2 Q x }≤ Z x + α·|H x |+ α 2 Q x
while,
M 0 ≤ Z 0 + α·H 0 + α 2 ·Q 0
and M w ≤ Z w −α·H w + α 2 ·Q w
It follows that
w
x
X
X
w− X
X
M x
|H x |) + α 2 ·
Z x −α· (H w −H 0
Q x
x=0
x=0
x=1
x=0
 
 
 
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