On the parameter selection of randomness test by FAN Li-min1, FENG Deng-guo1, CHEN Hua1

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Serial test is superior to the traditional sequences random tests by YU Yi-zhou1, OU Hai-wen 1

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A measure of the difference between test sets for generating controlled random tests by V. N. Yarmolik, V. V. Petrovskaya, I. Mrozek

Subjects: “…controlled random tests…”
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Block ciphers identification scheme based on the distribution character of randomness test values of ciphertext by Yang WU, Tao WANG, Meng XING, Jin-dong LI

“…By researching deficiency of current encryption algorithms identification schemes，a block ciphers identification scheme is proposed based on the distribution character of randomness test values for ciphertext.Firstly，the numbers of randomness test values for AES，Camellia，DES，3DES，SMS4 are respectively calculated based on the frequency test，frequency test in block，run test and originally clustered by the k-means algorithm.Secondly，in order to identify the block ciphers in each clustering，the dimensions of eigenvectors to the frequency test，frequency test in block，run test are calculated on the principle of reducing the comparability between eigenvectors.Eventually，the experimental results of AES，Camellia，DES，3DES，SMS4 demonstrate that the proposed scheme effectively identified the above representative block ciphers，and the correlative research can promote the further encryption algorithms identification research.…”
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Method to generate the pseudo random sequence based on the statistical properties by Sen BAI, Long-fu ZHOU, Hui GUO, Bing YAN

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A sector fast encryption algorithm for color images based on one-dimensional composite sinusoidal chaos map. by Ye Tao, Wenhua Cui, Shanshan Wang, Yayun Wang

“…The randomness of these two chaotic mappings was verified through Lyapunov index and NIST SP 800-22 randomness tests. Thirdly, the encryption process is carried out according to the shape of a traditional Chinese fan, and the diffusion and scrambling of each pixel of the image are performed in parallel. …”
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CFO-CR: Carrier Frequency Offset Methodology for High-Rate Common Randomness Generation by Prashanth Kumar Herooru Sheshagiri, Martin Reisslein, Juan A. Cabrera, Frank H. P. Fitzek

“…Our proposed CFO-CR methodology can generate 2048 bits of CR at a comparatively low reconciliation cost of 72 bytes while only making 256 channel observations and passing all common randomness tests. For generating 2048 bits of CR, other state-of-the-art approaches either require more channel observations (<inline-formula> <tex-math notation="LaTeX">$\ge 2048$ </tex-math></inline-formula>) or incur a higher reconciliation cost (<inline-formula> <tex-math notation="LaTeX">$\ge 450$ </tex-math></inline-formula> bytes).…”
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On Channel Transforms to Enhance Reciprocity and Quantization in Physical-Layer Secret Key Generation by Ghalib Hussain, Syed Junaid Nawaz, Shurjeel Wyne, Mohammad N. Patwary

“…Additionally, the algorithm demonstrates superior performance in all considered eight the National Institute of Standards and Technology (NIST) randomness tests, exemplified by an average P-value of 0.78 in the frequency monobit test. …”
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Parameter selection of autocorrelation test for block ciphers by FAN Li-min1, FENG Deng-guo1, ZHOU Yong-bin1

“…Autocorrelation test was a statistical test to evaluate the correlation between one sequence and the corresponding non-cyclic left-shifted d bits sequence.It was impractical to adopt all the values of d since its range was often very wide.Three relations between parameters of randomness test were defined firstly.Then the relationships among the subclass D={1,2,m/4,m/2,3m/4,m,2m}of autocorrelation test for block cipher were studied by statistical experiments,where m was block length.The experiments show that the prefer choice of parameter d is m when doing autocorrelation test for block cipher.The method is also available for parameter selection of other randomness test for other types of cryptosystem.…”
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Hybrid Metaheuristics for Solving a Fuzzy Single Batch-Processing Machine Scheduling Problem by S. Molla-Alizadeh-Zavardehi, R. Tavakkoli-Moghaddam, F. Hosseinzadeh Lotfi

“…Through computational experiments with several random test problems, a robust calibration is applied on the parameters. …”
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ANALYSIS OF LABORATORY TESTS FOR SEVERAL VIRAL SWINE DISEASES IN RUSSIA IN 2011–2017 by A. A. Shevtsov, O. N. Petrova, S. G. Remyga, A. S. Pershin, K. N. Gruzdev, A. S.  Igolkin

“…But it is not always possible to read the test results unambiguously and that requires the improvement of diagnostic practices supported by established rules of sampling, laboratory tests and obtained result submission. It means random tests shall be representative for tested populations, correlate with the prevalence of concerned infection and meet the required certainty. …”
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Boolean-chaos-based physical random number generator by Qiqi ZHANG, Jianguo ZHANG, Pu LI, Yanqiang GUO, Yuncai WANG

“…A novel method for generating physical random numbers using Boolean-chaos as the entropy source was proposed.An autonomous Boolean network (ABN) without self-feedback was constructed by using two-input logic gates,and its dynamic characteristics were analyzed.Based on this,a 15-node ABN circuit was implemented to successfully generate Boolean-chaos with a bandwidth of ~680 MHz and a min-entropy around 1.By implementing the entropy source and the entropy extraction circuit on a single FPGA,the physical random number generation with a real-time rate of 100 Mbit/s was finally achieved.The NIST SP800-22 and DIEHARD randomness test results demonstrate that the obtained random sequences by the method successfully pass all tests.This indicates the random numbers has good random statistical characteristics.…”
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Mathematical epidemiology of HIV/AIDS in cuba during the period 1986-2000 by Brandy Rapatski, Petra Klepac, Stephen Dueck, Maoxing Liu, Leda Ivic Weiss

“…The two main methodsfor detection of HIV/AIDS cases in Cuba are ''random'' testing and contacttracing. As the detection equipment is costly and depends on biotechnologicaladvances, the testing rate can be changed by many external factors. …”
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Research on test strategy for randomness based on deep learning by Dongyu CHEN, Hua CHEN, Limin FAN, Yifang FU, Jian WANG

“…In order to achieve better test performance, researches on the randomness test strategies based on deep learning were conducted, including the batch average strategy proposed by EUROCRYPT 2021 and the selection strategy for data unit size.By introducing the randomness statistical test model based on deep learning methods, the statistical distribution and test power expression of two test strategies were theoretically derived, and it was pointed out that: (i) the batch average strategy could amplify the prediction accuracy of the model, but it was prone to an increase in the probability of the second type of error in statistics, instead reducing the statistical test power; (ii) the smaller data units of the deep model generally obtained the more powerful statistical tests.Based on the above understanding, a new bit-level deep learning model was proposed for randomness statistical tests, which gained the advantage of prediction with 80 times fewer parameters and 50% samples, compared with the previous work on linear congruent generator (LCG) algorithm, and achieved significant prediction advantages with 10～20 times fewer parameters by extending the model to apply to 5～7 rounds of Speck, compared with the model proposed by Gohr.…”
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A Competitive Bilevel Programming Model for Green, CLSCs in Light of Government Incentives by Arsalan Rahmani, Meysam Hosseini, Amir Sahami

“…To evaluate the convergence rate and solution quality, the method is applied to some random test instances generated in the literature. The computational results indicate that the proposed method is capable of efficiently solving the model.…”
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Species determination using AI machine-learning algorithms: Hebeloma as a case study by Peter Bartlett, Ursula Eberhardt, Nicole Schütz, Henry J. Beker

“…Based on these data an Artificial Intelligence (AI) machine-learning species identifier has been developed that takes as input locality data and a small number of the morphological parameters. Using a random test set of more than 600 collections from the database, not utilized within the set of collections used to train the identifier, the species identifier was able to identify 77% correctly with its highest probabilistic match, 96% within its three most likely determinations and over 99% of collections within its five most likely determinations.…”
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ADMET evaluation in drug discovery: 21. Application and industrial validation of machine learning algorithms for Caco-2 permeability prediction by Dong Wang, Jieyu Jin, Guqin Shi, Jingxiao Bao, Zheng Wang, Shimeng Li, Peichen Pan, Dan Li, Yu Kang, Tingjun Hou

“…Furthermore, Y-randomization test and applicability domain analysis were employed to assess the robustness and generalizability of these models. …”
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Multicenter Randomized Controlled Trial Comparing the Contribution of Proxabrushes with Regular Toothbrushes and Only Regular Toothbrushes to the Oral Health of Thai Elderly by Orachad Gururatana, Warangkana Vejvithee, Narisa Ekpatcha

“…A total of 510 elderly with at least 20 natural teeth and interdental spaces were randomized (test n = 255; control n = 255), and 35 were excluded from analysis because of early drop out leaving 239 in the test group and 236 in the control group. …”
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