Pseudo random number generator using Elman neural network

This paper proposes a pseudo random number generator using Elman neural network. The proposed neural network is a recurrent neural network able to generate pseudo-random numbers from the weight matrices obtained from the layer weights of the Elman network. The proposed method is not computationally...

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Bibliographic Details
Published in2011 IEEE Recent Advances in Intelligent Computational Systems pp. 251 - 254
Main Authors Desai, V. V., Deshmukh, V. B., Rao, D. H.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2011
Subjects
Biological neural networks
Correlation
Cryptography
deterministic algorithm
Elman network
Entropy
Generators
Monte Carlo methods
Neurons
prng
recurrent neural network
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Summary:This paper proposes a pseudo random number generator using Elman neural network. The proposed neural network is a recurrent neural network able to generate pseudo-random numbers from the weight matrices obtained from the layer weights of the Elman network. The proposed method is not computationally demanding and is easy to implement for varying bit sequences. The random numbers generated using our method have been subjected to frequency test and ENT test program. The results show that recurrent neural networks can be used as a pseudo random number generator(prng).
ISBN:9781424494781
1424494788
DOI:10.1109/RAICS.2011.6069312