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.
Jul 27, 2007 · 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 ...
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Jul 12, 2021 · A hash function takes an input, performs a set of complex operations and then produces an output. For my purposes the output from the function ...
In this paper an algorithm for one-way hash function construction based on a two layer feed forward neural network along with the piece-wise linear (pwl) ...
In this paper, a hash function construction method based on cell neural network with hyper-chaos characteristics is proposed. First, the chaos sequence is ...
Aug 2, 2017 · A hash function is constructed based on a three-layer neural network. The three neuron-layers are used to realize data confusion, diffusion and ...
Mar 22, 2023 · ML can be used for function inversion but it only works well for somewhat smooth functions. If a hash function is well implemented then it will not be smooth.
Aug 29, 2016 · Right now, there is no NN design known which is capable of cracking a modern cryptographic hash algorithm faster than brute force.
This paper presents a novel one-way hash function construction scheme based cell neural network with hyper-chaos characteristics. Simulations show that the.
May 16, 2017 · Yes, given infinite time and energy, a neural net could learn to imitate a hash function like SHA-2. However, it is not possible to reverse a ...