Universal Time
From DiceLock.org
Contents |
Universal
Test performed with librandomtests.so.
This is a test to analyze the relation between stream length and test time for Universal Random Test.
Also, it allows us to set the relation between stream length, test time, randomness and errors.
The test has been performed in order to extract information for DiceLock project.
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NOTE: Universal Random Test works above 387.840 bit streams. The bit streams checked are different to all other tests performed. The bit streams checked are between 387.840 and 649.880 bits.
Test performed
Test environment:
Hardware: Intel Pentium IV - 3,2 GHz, 1 GB RAM OS: Linux 2.6.18.2-34-default i686 System: openSUSE 10.2 (i586)
NIST file input stream data:
File: data.e Minimum stream length: 387.840 bits (48.480 bytes) Maximum stream length: 649.880 bits (81.235 bytes) Number of streams tested: 32.756 streams All streams starting from first bit of file Each stream 8 multiple
Test Time & Stream Length
The relation between Stream Length and Test Time.
Graphically:
Times for:
387.840 bits: 0,096315 seg. 262.144 bits: 0,064389 seg.
Regression with Weka (streams with no errors):
Parameters:
section: functions Classifier: LinearRegression Cross-validation: 10-fold class. Test Time
Results:
=== Run information ===
Scheme: weka.classifiers.functions.LinearRegression -S 0 -R 1.0E-8
Relation: QueryResult-weka.filters.unsupervised.attribute.Remove-R1-2,4-6,8
Instances: 32756
Attributes: 2
String_Length
Test_Time
Test mode: 10-fold cross-validation
=== Classifier model (full training set) ===
Linear Regression Model
Test_Time =
(0.1487 * 10e-6) * String_Length +
(2439.6595 * 10e-6)
Time taken to build model: 0.34 seconds
=== Cross-validation ===
=== Summary ===
Correlation coefficient 0.9599
Relative absolute error 15.5103 %
Root relative squared error 28.0342 %
Total Number of Instances 32756
Test Time, Stream Length, Random & Test Errors
Graphically:
All bit streams can be checked.
All bit streams checked above 104 are random.
Errors shown:
None
References
[NIST] National Institute of Standards and Technology.
[NIST RNGT] NIST Random Number Generation and Testing.
[Weka] Weka - collection of machine learning algorithms for data mining tasks.
[RapidMiner] Rapidminer - open-source data mining solution




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