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A flexible CNN based Hash Function

Project description

FNN-Hash (Flexible Neural Network - Hash)

A flexible EXPERIMENTAL Hashing algorithm that uses Neural Network architecture to calculate the Hash of a given string.

Some Notes

  • the node activation function is a threshold gate.
  • the number of nodes in inputlayer = 2 x no. of nodes in outout layer
  • and those number of nodes changed by user easily thus changing the size of hash generated.(max size = 1024 NOTE: 1024 size hash takes a lot of time so be patient when you request for a hash size of 1024)

Requirements

  • make sure you have NUMPY (Thise was made on version 1.19.2)

HOW TO USE

  1. Run the Command pip install FNNH in your python ENV.
  2. and to use the algo write :
from FNNH import FNNH

data = "qwerty"
sizeofhash = 16
rounds = 64

thehash = FNNH(data,sizeofhash,rounds)

Project details


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Files for FNNH, version 0.0.6
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Filename, size FNNH-0.0.6.tar.gz (4.7 kB) File type Source Python version None Upload date Hashes View

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