BCH Code Based Multiple Bit Error Correction in GF ... n A B... cted ty error 4 . Hardware...

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3/11/2011 1 BCH Code Based Multiple Bit Error Correction in GF Multiplier Circuits P. Mahesh 1 & A. M . Jabir : Oxford Brookes University J. Mathew 2 & D. K . Pradhan : Bristol University S. P . Mohanty 3 : University of North Texas E-mail: [email protected] 1 , [email protected] 2 , [email protected] 3 Presented by: Oleg Garitselov : University of North Texas

Transcript of BCH Code Based Multiple Bit Error Correction in GF ... n A B... cted ty error 4 . Hardware...

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BCH Code Based Multiple Bit Error

Correction in GF Multiplier Circuits

P. Mahesh1 & A. M . Jabir : Oxford Brookes University

J. Mathew2 & D. K . Pradhan : Bristol University

S. P . Mohanty3 : University of North Texas

E-mail: [email protected], [email protected],

[email protected]

Presented by:

Oleg Garitselov : University of North Texas

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Overview

Motivation

Background

Galois Arithmetic Circuits

BCH Code Based Error

Correction

Design Steps

Experimental Results

Conclusion & Future Work

Motivation

Fault attacks on Crypto. Hardware

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Previous Work

Ref: M. Nicoliadis , “Carry checking/parity prediction adders and ALUs ”, IEEE

Trans. VLSI Systems, vol. 11, Oct. 2003

LogicParity Prediction

A B

...

Predicted

parity

error

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Hardware Redundancy (TMR)

Voter

M1

M2

M3

Input 1

Input 2

Input 3

Output

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Finite Field

• Also called Galois Field, denoted by GF(N)

• N = pk, p is a prime number, and k is an

integer

• Each element is a k-tuple

• There are exactly N elements in the field (0,

1,…, N-1) or (0, 1, , 2 , 3 ,... , N-2) where ,

is a primitive element

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Finite Field

• Two operators

• ‘+’ called addition operation forming

Abelian Group

• ‘.’ called multiplication operation forming

Abelian group.

• Additive and multiplicative identities 0 and 1

respectively

• Additive and multiplicative inverse exists for

each element

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GF(4) Elements

[0, 1, , 2 ] = [0, 1, , ]

Elements can be represented in GF(2n) as

2-tuples over GF(2).

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Example GF(4)

GF(4)

2-tuple of GF(2)

a1 a0

Polynomial

Representation

a1 x + a0

0 0 0 0

1 0 1 1

1 0 x

1 1 (x+1)

Let 2 =

Thus we have 4 elements 0, 1, and

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Addition and Multiplication

• Addition and Multiplication in GF(4)

+ 0 1

0 0 1 1 1 0

0 1

1 0

* 0 1

0 0 0 0 0

1 0 1

0 1

0 1

is multiplicative inverse of , and vice versa.

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Generation of GF(2m)

• Let us generate GF(8) with PP p(x) = x3 + x + 1.

• Let be a root of p(x), i.e. p() = 0.

• Then 3 + + 1 = 0, i.e. 3 = + 1.

00

1

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0

]1,0,0[1

]1,0,1[1

]1,1,1[1

]0,1,1[

]1,1,0[1

]0,0,1[

]0,1,0[

]0,0,0[0

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Multiplication

Multiplication is done by using polynomial mod a

primitive polynomial P(x). i.e. (x) • (x) mod P(x)

Let P(x) = x2 + x + 1

Thus • = x (x + 1) = x2 + x

(x2 + x) mod x2 + x + 1 = 1

• =1

So

and are inverse of each other

-1 = , - 1 =

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Example

a0 a1 b0 b1

Figure:2 GF(4) multiplier

EXOR gate

)( 11000 babac

)( 1101101 bababac

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Multiple Bit Error Correction Using BCH Codes

Proposed Approach

Multiple Bit Error Correction Using BCH

Codes: The Design Architecture

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Transient error

Corrected outputs

Multiple Bit Error Correction Using BCH

Codes: Synd. Generator and BCH Decoder

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Multiple Bit Error Correction Using BCH

Codes

)(mod)()( xgxMxxP kn

)()()( xPxMxxE kn

BCH (n,k), where n, k are code length &

message length respectively

Generate parity,

Codeword,

Syndrome,

where „t ‘is # bits to be corrected tii xExS 2....,2,1

|)()(

Find the error bit location by

efficient parallel Chien-search

Corrected bits at output

End!

BCH Algo:

Experiments & Results

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Experiments & Results

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Area comparison with

other techniques

Modelsim simulation

results

[10] Fault Tolerant Bit Parallel Finite Field Multipliers Using LDPC Codes, J. Mathew, J. Singh, A. M .Jabir, M. Hosseinabady, D. K .Pradhan, IEEE 2008.

[12] Single Error Correctable Bit Parallel Multipliers Over GF(2^m), J. Mathew, A. M . Jabir, H. Rahaman, D. K .Pradhan, IET Computer Digital Tech., Vol. 3, Iss. 3, pp. 281-288, 2009.

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Conclusion & Future Work

Multiple bit error correction with compromise

over slightly higher area

For a fixed number of bits to be corrected,

percent area overhead reduces with larger

and more practical multipliers

Highly parallel and efficient Chien-search

block

This scheme can be easily extendable to GF

multiplier of any size

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Questions?

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