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SURVEY PAPER: PSEUDO RANDOM NUMBER GENERATORS AND SECURITY TESTS.

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dc.contributor.author SALHAB, OMAR
dc.contributor.author JWEIHAN, NOUR
dc.contributor.author JODEH, MOHAMMED ABU
dc.contributor.author Abutaha, Mohammed
dc.contributor.author FARAJALLAH, MOUSA
dc.date.accessioned 2020-12-09T09:22:59Z
dc.date.accessioned 2022-05-22T08:53:18Z
dc.date.available 2020-12-09T09:22:59Z
dc.date.available 2022-05-22T08:53:18Z
dc.date.issued 2018
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/8187
dc.description.abstract Many security applications are based on Pseudo Random Number Generators (PRNGs). Random binary numbers constitute a major reliance in many network security algorithms. For example, common cryptosystems require a long dynamic key that should be generated from a short secret key and has the random behavior. Random or pseudorandom inputs are critical requirements in many protocols that need this issue at certain points. A PRNG is a deterministic algorithm generates a sequence of bits simulates the truly random numbers sequence behavior. Each generated number should be independent of the previous or the future numbers, as a result the PRNG become unpredictable. However there are many security and performance tests can be applied on the PRNG sequence to evaluate it. And then measure the power of the PRNG.
dc.title SURVEY PAPER: PSEUDO RANDOM NUMBER GENERATORS AND SECURITY TESTS.


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