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| From | OCTADE <news0@octade.net> |
|---|---|
| Newsgroups | alt.flashback |
| Subject | [archive] PANGRANDOMONIUM Rhizome Function Anagram Random Generator |
| Date | 2026-08-17 19:30 +0000 |
| Organization | bofh.team Usenet service |
| Message-ID | <11606ju$mlt4$2@paganini.bofh.team> (permalink) |
PANGRANDOMONIUM Rhizome Function Anagram Random Generator
Byrl Raze Buckbriar
https://archive.org/details/pangrandomonium-rhizome-function-anagram-random-generator
Herein are described principles and a scheme of random number
generation styled as, pangrandomonium, or ‘pangrand’. Pangrand is a
anagrammatic random number generator that uses rhizome functions as
chaotic indexing and shuffling instructions to reorder and sum perfect
pangrams. Brief descriptions are given for the principles of pangram
summing and rhizome indexing functions, Source code of the random
number generator is included herewith. The source code is attached to
the PDF file.
Sections:
1. Pangrams (Holoalphabetic arrays) ;
2. Rhizome Functions ;
3. Rhizome Hardness Problems ;
4. Random Generator Methods ;
5. Errata ;
6. Source Code.
About the included demonstration software:
This random number generator mixes unpredictable timestamp entropy into
a pool by using the timestamp bytes as generators for shuffling three
arrays of pangram bytes. Each pangram contains the bytes 0 to 255
shuffled randomly. After much shuffling two arrays are added together
for output. One array is used as the seed for the next output.
512 clock bytes are converted into 256 bytes of output in each round.
The generator values are derived from an accumulator pair of 128 bits
total.
This method is useful because the shuffled bytes never change value.
They just change their positions in the arrays. Using the shuffled data
as instructions for transforming the input data guarantees a very good
distribution of random instruction values. Then we use the transformed
input as instructions to repeat the process on the shuffled data
arrays. Moreover, if we add the bytes across the two pangram alphabets,
the output can't be correlated to the secret values. A huge number of
random array states yield same output of one block yet will not match
on the following block of output. Since output values are dependent on
pangram positions, and changing two value positions affects all forward
transformations, it is mathematically hard for an attacker to
manipulate internal state to a desired ordering. One change is likely
to form a algebraic road block to further calculated changes of the
pangram orderings.
Addeddate
2026-08-17 19:10:44
Doi
https://doi.org/10.5281/zenodo.21551292
Identifier
pangrandomonium-rhizome-function-anagram-random-generator
Orcid
0009-0009-5144-3278
Scanner
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https://archive.org/details/pangrandomonium-rhizome-function-anagram-random-generator
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