Random number generation

Results: 336



#Item
41True Random Number Generation: A Standard(s) Dilemma Paul Timmel Cryptology Office Information Assurance Research Group

True Random Number Generation: A Standard(s) Dilemma Paul Timmel Cryptology Office Information Assurance Research Group

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Source URL: www.chesworkshop.org

Language: English - Date: 2008-01-10 16:51:15
    42Randomness: between faith and reality Yaoyun Shi University of Michigan joint works with Carl Miller (arXiv:&), Kai-Min Chung and Xiaodi Wu (arXiv:)

    Randomness: between faith and reality Yaoyun Shi University of Michigan joint works with Carl Miller (arXiv:&), Kai-Min Chung and Xiaodi Wu (arXiv:)

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    Source URL: web.eecs.umich.edu

    Language: English - Date: 2015-05-13 01:17:02
    43GLI Standards Composite Submission Requirements

    GLI Standards Composite Submission Requirements

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    Source URL: www.gaminglabs.com

    Language: English - Date: 2014-08-13 12:07:13
    44Flash Memory for Ubiquitous Hardware Security Functions: True Random Number Generation and Device Fingerprints

    Flash Memory for Ubiquitous Hardware Security Functions: True Random Number Generation and Device Fingerprints

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    Source URL: ieee-security.org

    - Date: 2012-05-22 01:32:56
      45Random Number Generators: Introduction for Application Developers Key material generation is as important to strong cryptosystems as the algorithms used. Weak random number generators (RNGs) have been known to create

      Random Number Generators: Introduction for Application Developers Key material generation is as important to strong cryptosystems as the algorithms used. Weak random number generators (RNGs) have been known to create

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      Source URL: www.nsa.gov

      Language: English - Date: 2014-07-17 09:45:30
        46Chapter 5  Random Numbers Contents 5.1

        Chapter 5 Random Numbers Contents 5.1

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        Source URL: www.ks.uiuc.edu

        Language: English - Date: 2000-03-28 14:32:45
        47Random Number Generators: Introduction for Operating System Developers Key material generation is as important to strong cryptosystems as the algorithms used. Weak random number generators (RNGs) have been known to creat

        Random Number Generators: Introduction for Operating System Developers Key material generation is as important to strong cryptosystems as the algorithms used. Weak random number generators (RNGs) have been known to creat

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        Source URL: www.nsa.gov

        Language: English - Date: 2014-07-17 09:45:36
        48Chapter 5  Random Numbers Contents 5.1

        Chapter 5 Random Numbers Contents 5.1

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        Source URL: www.ks.uiuc.edu

        Language: English - Date: 2005-01-14 15:57:51
        49Monte Carlo – Uniform distributions ● Write a small code to generate random numbers using the RANDU algorithm: With m = 231, a=65539, X0=1, c=0

        Monte Carlo – Uniform distributions ● Write a small code to generate random numbers using the RANDU algorithm: With m = 231, a=65539, X0=1, c=0

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        Source URL: cp3.irmp.ucl.ac.be

        Language: English - Date: 2012-09-28 10:39:41
        50ANNOUNCEMENT LETTER HECTOR, a European cooperative research project, has officially started on 1st March 2015 with a set duration of 36 months. It has received funding from The European Union’s HORIZON2020 Research and

        ANNOUNCEMENT LETTER HECTOR, a European cooperative research project, has officially started on 1st March 2015 with a set duration of 36 months. It has received funding from The European Union’s HORIZON2020 Research and

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        Source URL: www.technikon.com

        Language: English