2016
DOI: 10.1007/s11071-016-3051-3
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A novel pseudorandom number generator based on pseudorandomly enhanced logistic map

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Cited by 169 publications
(77 citation statements)
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References 42 publications
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“…Furthermore, when comparing to other studies, our method is still superior. Under the same accuracy, the key spaces of the PRBG proposed in [19,[34][35][36] are 2 384 , 2 400 , 2 199 , and 2 128 , respectively, which are all smaller than ours.…”
Section: Key Spacementioning
confidence: 61%
See 1 more Smart Citation
“…Furthermore, when comparing to other studies, our method is still superior. Under the same accuracy, the key spaces of the PRBG proposed in [19,[34][35][36] are 2 384 , 2 400 , 2 199 , and 2 128 , respectively, which are all smaller than ours.…”
Section: Key Spacementioning
confidence: 61%
“…In this paper, the algorithms are simulated by Matlab R2014a on the 64-bit computer with [35] 20.5383 Ref. [36] 1.7 Ref. [37] 0.4844 Ref.…”
Section: Linear Complexitymentioning
confidence: 99%
“…By probabilistic methods, the randomness is determined by the test p-value. If the p-value is greater than the significance level 0.01, then it indicates that the sequence is random [26][27][28]. For the sequences S = Dec2bin Mod S θ , 2 32 , the test results of NIST are given in Table 3.…”
Section: Discussionmentioning
confidence: 99%
“…Given these considerations, we will obtain a higher Q T . is means that the state variables of the 3D Lorenz, Rössler, Chen, Liu and Chen, and MACM CSs in their DVs by using the NAs (6)-(13) have a better representation of f Td , which is very attractive for applications based in chaos such as: master key definition, encryption, and secure communications [9,37,43,56].…”
Section: Complexitymentioning
confidence: 99%