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Statistical Inference for Elementary Oscillator-Based True Random Number Generators

Offered By: Banach Center via YouTube

Tags

Statistical Inference Courses Cryptography Courses Signal Processing Courses Information Theory Courses Electronics Courses Stochastic Processes Courses Probability Theory Courses Oscillators Courses

Course Description

Overview

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Explore statistical inference techniques for elementary oscillator-based true random number generators in this 30-minute conference talk presented by Maciej Skórski from the Faculty of Physics at the University of Warsaw. Gain insights into the mathematical foundations and practical applications of these generators, essential for cryptography and simulation. Delve into the statistical methods used to analyze and validate the randomness produced by oscillator-based systems, and understand their importance in ensuring the security and reliability of various computational processes.

Syllabus

Statistical Inference for Elementary Oscillator-Based True Random Number Generators


Taught by

Banach Center

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