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pseudorandom number |
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After that initial choice, the algorithm produces each new pseudorandom number by multiplying the preceding number by 17, dividing the result by 13, and taking the remainder. NIST has developed a suite of 16 tests to check the randomness of binary sequences produced by random or pseudorandom number generators that may be used for many purposes, including cryptographic, modeling, and simulation applications. Therefore, the code pattern like the conventional pseudorandom numbers is unlikely to be decoded, and as a result it is possible to build advanced security system such as authentication on the high-speed network, password generation, electronic lock and electronic key of cars. |
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