Methods to Detect Distribution Change for Noise Sources in Cryptographically Secure Random Number Generators 


Vol. 46,  No. 7, pp. 1208-1218, Jul.  2021
10.7840/kics.2021.46.7.1208


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  Abstract

For a secure cryptosystem, it is necessary to use cryptographically secure random numbers, which are used as crypto keys and parameters of security protocols. The security of cryptographically secure random number generators intrinsically relies on the entropy of the noise source, the root of randomness. NIST SP 800-90B is a representative entropy estimation method for noise sources. However, the NIST method does not specify how to test the stationarity of noise sources, since it is designed under the assumption of the stationarity of the distribution of the noise sources. In this paper, we propose methods to detect changing distribution for noise sources in the cryptographically secure random number generators. The proposed methods are designed to detect changing distribution for the IID noise sources and the Non-IID noise sources with Markov chain property. Furthermore, we provide various simulations to examine the proposed methods.

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  Cite this article

[IEEE Style]

H. Park, S. Kwon, Y. Yeom, J. Kang, "Methods to Detect Distribution Change for Noise Sources in Cryptographically Secure Random Number Generators," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 7, pp. 1208-1218, 2021. DOI: 10.7840/kics.2021.46.7.1208.

[ACM Style]

Hojoong Park, Sujin Kwon, Yongjin Yeom, and Ju-Sung Kang. 2021. Methods to Detect Distribution Change for Noise Sources in Cryptographically Secure Random Number Generators. The Journal of Korean Institute of Communications and Information Sciences, 46, 7, (2021), 1208-1218. DOI: 10.7840/kics.2021.46.7.1208.

[KICS Style]

Hojoong Park, Sujin Kwon, Yongjin Yeom, Ju-Sung Kang, "Methods to Detect Distribution Change for Noise Sources in Cryptographically Secure Random Number Generators," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 7, pp. 1208-1218, 7. 2021. (https://doi.org/10.7840/kics.2021.46.7.1208)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880