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- W2313535466 abstract "In this paper we describe an improved version of HF -hash [7] viz. R-hash: Hash Function Using Random Quadratic Polynomials Over GF(2). The compression function of HF -hash consists of 32 polynomials with 64 variables over GF(2), which were taken from the first 32 polynomials of HFE challenge -1 by forcing last 16 variables as 0. The mode operation used in computing HF -hash was Merkle-Damgard. We have randomly selected 32 quadratic non-homogeneous polynomialshaving 64 variables over GF(2)in case of R-hash to improve the security of the compression function used in HF -hash. In designing R-hash, we have also changed the mode operation used in HF-hash, because of the theoretical weakness found in the Merkle-Damgard construction. In this paper we will prove that R-hash is more secure than HF-hash and SHA-256 as well as we will show that it is also faster than HF-hash." @default.
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- W2313535466 date "2012-12-31" @default.
- W2313535466 modified "2023-09-24" @default.
- W2313535466 title "R-Hash: Hash Function Using Random Quadratic Polynomials Over GF(2)" @default.
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- W2313535466 doi "https://doi.org/10.5121/ijcsit.2012.4612" @default.
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