Error Correction Capabilities of Non-Linear Cryptographic Hash Functions
CoRR(2024)
摘要
Linear hashes are known to possess error-correcting capabilities. However, in
most applications, non-linear hashes with pseudorandom outputs are utilized
instead. It has also been established that classical non-systematic random
codes, both linear and non-linear, are capacity achieving in the asymptotic
regime. Thus, it is reasonable to expect that non-linear hashes might also
exhibit good error-correcting capabilities. In this paper, we show this to be
the case. Our proof is based on techniques from multiple access channels. As a
consequence, we show that Systematic Random Non-Linear Codes (S-RNLC) are
capacity achieving in the asymptotic regime. We validate our results by
comparing the performance of the Secure Hash Algorithm (SHA) with that of
Systematic Random Linear Codes (SRLC) and S-RNLC, demonstrating that SHA
performs equally.
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