Abstract
Dynamical systems can give information and can be used in applications in various domains. It is important to know the type of information which will be extracted. In an era when everybody is speaking and is producing information that can be referred as big data, here, the way to extract relevant information by sampling a signal is investigated. Each state variable of a dynamical system is sampled with a specific frequency in order to obtain data sets which are statistical independent. The system can provide numbers for random generators and the sequence obtained can be easily reproduced. These type of generators can be used in cryptography.
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Acknowledgment
This work was supported by a grant of the Romanian Space Agency, Space Technology and Advanced Research (STAR) Programme, project number 75/29.11.2013.
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Frunzete, M., Perisoara, L., Barbot, JP. (2016). Continuous Time Dynamical System and Statistical Independence. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2016. ICCSA 2016. Lecture Notes in Computer Science(), vol 9786. Springer, Cham. https://doi.org/10.1007/978-3-319-42085-1_36
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