Machine learning: supervised learning to learn and predict the next RSA code

I took a course in Andrew NG cars. I'm still in the initial stages. With his example of forecasting housing prices in the classroom, he teaches instructional education.

Is it possible to predict the RSA token that will be generated next after providing a dataset of “correct” values ​​for a machine learning program? Can we use supervised learning so that the program learns the algorithm?

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3 answers

This will not work.

The RSA marker creates a pseudo-random sequence of numbers from a seed.

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. , , . , , - . , .

RSA , , . .

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. RSA, , , , ( ) NP , NP.

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. .

For example, you can use a hash chain .

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