Pseudorandom number generators

Results: 265



#Item
21Matthew
W.
Pagano
 Computer
Security
Architecture
 Spring
2008
Semester
 Dr.
Masson
/
Dr.
Vasconcelos
 PSEUDORANDOM
NUMBER
GENERATORS
ON
ATMEL
AVR
AT90USB1287
MICROCONTROLLERS


Matthew
W.
Pagano
 Computer
Security
Architecture
 Spring
2008
Semester
 Dr.
Masson
/
Dr.
Vasconcelos
 PSEUDORANDOM
NUMBER
GENERATORS
ON
ATMEL
AVR
AT90USB1287
MICROCONTROLLERS


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Source URL: hms.isi.jhu.edu

Language: English - Date: 2012-02-06 00:41:04
    22Chapter 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
    23Random 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
    242013 IEEE Security and Privacy Workshops On Bad Randomness and Cloning of Contactless Payment and Building Smart Cards This work was supported by the European Commission under the FP7 project numberResilient Inf

    2013 IEEE Security and Privacy Workshops On Bad Randomness and Cloning of Contactless Payment and Building Smart Cards This work was supported by the European Commission under the FP7 project numberResilient Inf

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    Source URL: www.ieee-security.org

    Language: English - Date: 2013-05-05 16:04:56
    25Chapter 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
    26Monte 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
    27On the Use of Financial Data as a Random Beacon Jeremy Clark University of Waterloo Urs Hengartner University of Waterloo

    On the Use of Financial Data as a Random Beacon Jeremy Clark University of Waterloo Urs Hengartner University of Waterloo

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    Source URL: www.usenix.org

    Language: English - Date: 2010-07-01 11:29:02
    28ANNOUNCEMENT 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
    29This version: May 16, 2013 TestU01 A Software Library in ANSI C for Empirical Testing of Random Number Generators User’s guide, compact version

    This version: May 16, 2013 TestU01 A Software Library in ANSI C for Empirical Testing of Random Number Generators User’s guide, compact version

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    Source URL: simul.iro.umontreal.ca

    Language: English - Date: 2014-06-03 18:19:00
    30Chapter 9 Random Numbers This chapter describes algorithms for the generation of pseudorandom numbers with both uniform and normal distributions.

    Chapter 9 Random Numbers This chapter describes algorithms for the generation of pseudorandom numbers with both uniform and normal distributions.

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    Source URL: www.mathworks.com

    Language: English - Date: 2013-09-25 13:50:03