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Blaze
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There are some great tests out there: Draft Special Publication 800-90B - National Institute of Standards

In particular the min-entropy, partial collections, Markov (useful for non-IID sources), collisions, and compression tests.

The issue with the Markov test is the constraint on bit size of the sample.

Updated:

These tests only measure output. They don't measure the underlying entropy that was used to generate the data. You can take completely non random data and make it look perfectly random according to these tests (or any tests).

There are some great tests out there: Draft Special Publication 800-90B - National Institute of Standards

In particular the min-entropy, partial collections, Markov (useful for non-IID sources), collisions, and compression tests.

The issue with the Markov test is the constraint on bit size of the sample.

There are some tests out there: Draft Special Publication 800-90B - National Institute of Standards

In particular the min-entropy, partial collections, Markov (useful for non-IID sources), collisions, and compression tests.

The issue with the Markov test is the constraint on bit size of the sample.

Updated:

These tests only measure output. They don't measure the underlying entropy that was used to generate the data. You can take completely non random data and make it look perfectly random according to these tests (or any tests).

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Blaze
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There are some great tests out there: Draft Special Publication 800-90B - National Institute of Standards

In particular the min-entropy, partial collections, Markov (useful for non-IID sources), collisions, and compression tests.

The issue with the Markov test is the constraint on bit size of the sample. Too bad, it would be handy…

There are some great tests out there: Draft Special Publication 800-90B - National Institute of Standards

In particular the min-entropy, partial collections, Markov (useful for non-IID sources), collisions, and compression tests.

The issue with the Markov test is the constraint on bit size of the sample. Too bad, it would be handy…

There are some great tests out there: Draft Special Publication 800-90B - National Institute of Standards

In particular the min-entropy, partial collections, Markov (useful for non-IID sources), collisions, and compression tests.

The issue with the Markov test is the constraint on bit size of the sample.

Typo corrections, reformatting, killed the chit-chat.
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Mike Edward Moras
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TheresThere are some great tests listed hereout there:

Draft Special Publication 800-90B - National Institute of Standards

http://csrc.nist.gov/publications/drafts/800-90/draftDraft Special Publication 800-sp80090B -90b.pdf National Institute of Standards

In particular the min-entropy, partial collections, markovMarkov (useful for non iid-IID sources), collisions, and compression tests.

The issue with the markovMarkov test is the constraint on bit size of the sample. TooToo bad, it'dit would be handy..

Selecting this as the answer as this is exactly what I was looking for..handy…

Theres some great tests listed here:

Draft Special Publication 800-90B - National Institute of Standards

http://csrc.nist.gov/publications/drafts/800-90/draft-sp800-90b.pdf

In particular the min-entropy, partial collections, markov (useful for non iid sources), collisions, and compression tests.

The issue with the markov test is the constraint on bit size of the sample. Too bad, it'd be handy..

Selecting this as the answer as this is exactly what I was looking for..

There are some great tests out there: Draft Special Publication 800-90B - National Institute of Standards

In particular the min-entropy, partial collections, Markov (useful for non-IID sources), collisions, and compression tests.

The issue with the Markov test is the constraint on bit size of the sample. Too bad, it would be handy…

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Blaze
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