Browsing by Author "Hwang, TingTing"

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Randomness Enhancement for a Digitalized Modified-Logistic Map Based Pseudo Random Number Generator
(2010)
Chen, Shih-Liang
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Hwang, TingTing
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Lin, Wen-Wei
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交大名義發表
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National Chiao Tung University
A nonlinear, Digitalized Modified-Logistic Map based Pseudo Random Number Generator (DMLM-PRNG) is proposed for randomness enhancement. We use parameter selection to reduce computation cost and output sequence scrambling to improve the quality or randomness. Statistical test results show that DMLM-PRNG passes all cases in SP800-22, and most of cases in Crush, one of the test suite of TesuU01. When compared to previous chaotic map based PRNGs, in terms of randomness quality, our system is as good as Addabbo\'s [1] combined system and better than Li\'s [2] system. Moreover, our system shows better scalability than Addabbo\'s system.
Randomness Enhancement Using Digitalized Modified Logistic Map
(2010-12-01)
Chen, Shih-Liang
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Hwang, TingTing
;
Lin, Wen-Wei
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應用數學系
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Department of Applied Mathematics
In this brief, a nonlinear digitalized modified logistic map-based pseudorandom number generator (DMLM-PRNG) is proposed for randomness enhancement. Two techniques, i.e., constant parameter selection and output sequence scrambling, are employed to reduce the computation cost without sacrificing the complexity of the output sequence. Statistical test results show that with only one multiplication, DMLM-PRNG passes all cases in SP800-22. Moreover, it passes most of the cases in Crush, one of the test suites of TesuU01. When compared with solutions based on digitized pseudochaotic maps previously proposed in the literature, in terms of randomness quality, our system is as good as a Renyi-map-based PRNG and better than a logistic-map-based PRNG. Moreover, compared with solutions based on a Renyi-map-based PRNG, DMLM-PRNG is better scalable to high digital resolutions with reasonable area overhead.