Cryptology ePrint Archive: Report 2011/450
R-hash : Hash Function Using Random Quadratic Polynomials Over GF (2)
Dhananjoy Dey, Noopur Shrotriya, Indranath Sengupta
Abstract: In this paper we present an improved version of HF-hash  viz. R-hash : Hash Function
Using Random Quadratic Polynomials Over GF(2). In case of HF-hash, the compression function
consists of 32 polynomials with 64 variables which were taken from the first 32 polynomials of
hidden field equations challenge-1 by forcing last 16 variables as 0. Merkle-Damg°ard mode operation
was used in computation of HF-hash. In R-hash, we have randomly selected 32 quadratic
non-homogeneous polynomials with 64 variables over GF(2) to improve the security of the compression
function used in HF-hash. We have also changed the design principle of HF-hash because
of the theoretical weakness found in the Merkle-Damg°ard construction.
In this paper we will prove that R-hash is more secure and much more efficient than HF-hash.
Category / Keywords: Dedicated hash functions, differential attack, MQ problem, preimage attack.
Publication Info: Accepted for publication on IJCSIT
Date: received 9 Aug 2011, last revised 7 Apr 2012, withdrawn 9 Oct 2012
Contact author: ddey06 at gmail com
Available format(s): (-- withdrawn --)
Note: This paper is accepted for publication on IJCST. Editorial borad requires the copy-right.
Version: 20121009:091925 (All versions of this report)
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