Continuous time dynamical system and statistical independence

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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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Frunzete, M., Perisoara, L., & Barbot, J. P. (2016). Continuous time dynamical system and statistical independence. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9786, pp. 470–479). Springer Verlag. https://doi.org/10.1007/978-3-319-42085-1_36

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