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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Random Number Generator Based on Transformed Image Data Source
verfasst von : Saman Hedayatpour, Suriayati Chuprat
Erschienen in: Advances in Computer, Communication, Control and Automation
Verlag: Springer Berlin Heidelberg
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Real random values play critical role in different application of computer science. One of the main challenges in generating real random values refers to the needs for physical noisy sources such as nuclear decay, brownian motion and quantum mechanics. Since usually these noisy sources are too costly and complicated, this research proposes an inexpensive and less complicated method for generating true random values by using normal image data as the source of generator and two cryptography hash functions as data extractor. The result of three levels of statistical tests on generated random sequences proves that the generated sequences achieved high level of randomness.