Chaotic neural network for information security

The neural network-based key generator has been employed in this work. The chaotic binary sequences were created using one of the best and simplest chaotic Bernoulli maps. Additionally, chaotic sequences' randomness can be improved using neural networks, where the inputs and weights completely...

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Bibliographic Details
Published ine-Prime Vol. 8; p. 100524
Main Authors Baby, HT, Raghu, ME
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.06.2024
Elsevier
Subjects
Bernoulli map
Diehard battery test
Dna computing
Key generator
Neural network
Key generator
Diehard battery test
Neural network
Dna computing
Bernoulli map
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Summary:The neural network-based key generator has been employed in this work. The chaotic binary sequences were created using one of the best and simplest chaotic Bernoulli maps. Additionally, chaotic sequences' randomness can be improved using neural networks, where the inputs and weights completely determine the output sequence. As the created sequences are based on the perceptron learning approach, the output sequence is unpredictable. The generated sequences passed each test that was conducted using the Diehard battery test and NIST 800–22. To strengthen the security of the images, DNA computing was also used for the ANN binary sequence and encryption.
ISSN:2772-6711
2772-6711
DOI:10.1016/j.prime.2024.100524