ISCAS OpenIR
A general method to evaluate the correlation of randomness tests
Fan, Limin (1); Chen, Hua (1); Gao, Si (1); Fan, L.(fanlimin@tca.iscas.ac.cn)
2014
Conference Name14th International Workshop on Information Security Applications, WISA 2013
Pages52-62
Conference DateAugust 19, 2013 - August 21, 2013
Conference PlaceJeju Island, Korea, Republic of
Indexed TypeEI
Publish PlaceSpringer Verlag
ISSN3029743
ISBN9783319051482
Department(1) Trusted Computing and Information Assurance Laboratory, Institute of Software, Chinese Academy of Sciences, 100190 Beijing, China
English AbstractThis paper discusses the correlation of the randomness tests. In this paper, we propose a new general method to evaluate the correlation of randomness tests. Firstly, we deduce the distribution that independent randomness tests should obey, then evaluate whether the randomness tests are independent or not based on hypothesis test. Using this method, we research the correlation of some statistical tests included in the NIST SP 800-22 suits, which is a collection of tests for the evaluation of both true random and pseudorandom number generators for cryptographic applications. Our experiment results show that some correlations of dependent exist among the randomness tests, which is different from the declaration that the randomness tests are independent by NIST. Moreover, the method we proposed also can be used in the study of parameter selection in randomness tests. © 2014 Springer International Publishing Switzerland.; This paper discusses the correlation of the randomness tests. In this paper, we propose a new general method to evaluate the correlation of randomness tests. Firstly, we deduce the distribution that independent randomness tests should obey, then evaluate whether the randomness tests are independent or not based on hypothesis test. Using this method, we research the correlation of some statistical tests included in the NIST SP 800-22 suits, which is a collection of tests for the evaluation of both true random and pseudorandom number generators for cryptographic applications. Our experiment results show that some correlations of dependent exist among the randomness tests, which is different from the declaration that the randomness tests are independent by NIST. Moreover, the method we proposed also can be used in the study of parameter selection in randomness tests. © 2014 Springer International Publishing Switzerland.
Language英语
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/16628
Collection中国科学院软件研究所
Corresponding AuthorFan, L.(fanlimin@tca.iscas.ac.cn)
Recommended Citation
GB/T 7714
Fan, Limin ,Chen, Hua ,Gao, Si ,et al. A general method to evaluate the correlation of randomness tests[C]. Springer Verlag,2014:52-62.
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