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Improved Information Set Decoding - Decoding Random Linear ...

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Recap Binary <strong>Linear</strong> Codes<br />

n<br />

A binary linear code C is a k-dimensional subspace of F<br />

●<br />

Running time of decoding algorithms: T(n,k,d)<br />

2<br />

●<br />

In<br />

● Generator this talk: Analysis<br />

matrix for random<br />

G k<br />

=<br />

0 binary / 1 linear<br />

C = { x t·G k<br />

: x 2 F 2<br />

}<br />

codes with constant rate R=k/n<br />

●<br />

For n→∞, k and d are related via Gilbert-<br />

n<br />

n-k<br />

n<br />

● Parity Varshamov check matrix bound, thus<br />

H = 0 / 1 C = { H·c = 0 : c 2 F 2<br />

}<br />

T(n,k,d) = T(n,k)<br />

●<br />

We compare algorithms by their complexity<br />

·<br />

y<br />

d<br />

Minimum coeffcient distance F(k), d i.e. = min c2C<br />

{ wt(c) }<br />

x<br />

· ·<br />

Such C is called binary T(n,k) [n,k,d] = O(2 code.<br />

F(k)n )<br />

n<br />

IMPROVED INFORMATION SET DECODING ASIACRYPT 2011 | December 2011, Seoul

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