| Autor: |
HT Baby, ME Raghu |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 8, Iss , Pp 100524- (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2772-6711 |
| DOI: |
10.1016/j.prime.2024.100524 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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