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arXiv · 0707.4032

One-way Hash Function Based on Neural Network

Shiguo Lian·Jinsheng Sun·Zhiquan Wang
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Abstract

A hash function is constructed based on a three-layer neural network. The three neuron-layers are used to realize data confusion, diffusion and compression respectively, and the multi-block hash mode is presented to support the plaintext with variable length. Theoretical analysis and experimental results show that this hash function is one-way, with high key sensitivity and plaintext sensitivity, and secure against birthday attacks or meet-in-the-middle attacks. Additionally, the neural network's property makes it practical to realize in a parallel way. These properties make it a suitable choice for data signature or authentication.

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Shiguo Lian, Jinsheng Sun, Zhiquan Wang. 2007-07-27. One-way Hash Function Based on Neural Network. https://arxiv.org/abs/0707.4032

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