Selection of Sampling Keys for Cryptographic Tests
release_re73uytayra7rc5yicitwbqsiy
by
George Marinakis
2021 p1-14
Abstract
Abstract
The keys of modern cryptographic algorithms have an enormous size, so the testing
of the algorithm performance for all key combinations, will take practically an
infinite time. To avoid this, the sampling method is used, where a much smaller
number of keys is tested and then the estimation of the algorithm performance for
all the keys is calculated with a predetermined sampling error. For each sampling
key, an output sample of the algorithm must be generated and tested. Therefore, in
order to have sampling results as close as possible to the real performance of the
algorithm, the key question is whether the selection of the keys should be random
or it must follow some rules. If the selection of the keys is completely random, there
is a high probability that the tests will not find some "weak" or "equivalent" keys,
which give non-random or similar outputs and therefore reduce the total number of
active keys. But if the sampling keys are selected with some specific criteria, there
is a much greater probability of detecting any weak or equivalent key. In this study
an optimal key selection methodology is proposed, which combines the random and
the non-random key selection.
Keywords: Cryptography, Data encryption, Communication security, Computer
security, Data security, Information security.
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Date 2021-07-23
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