Standard No.:	GM/T 0105-2021
English Name:	Design guide for software-based random number generators
Chinese Name:	软件随机数发生器设计指南
Chinese Classification:	L80    Data encryption
Professional Classification:	GM
Issued by:	Office of Security Commercial Code Administration
Issued on:	2021-10-18
Implemented on:	2022-5-1
Status:	valid
Language:	English
File Format:	PDF
Word Count:	17500 words
Price(USD):	525.0
Delivery:	via email in 1 business day

GM/T 0105-2021 Design guide for software-based random number generators 1 Scope This document provides a basic model for the design of software-based RNGs, design guide for the basic components and a security classification method, as well as examples of SM3 algorithm- and SM4 algorithm-based designs attached in the annexes. This document is applicable to the design, development, testing and evaluation of software-based RNGs. 2 Normative references The following documents contain provisions which, through reference in this text, constitute provisions of this document. For dated references, only the edition cited applies. For undated references, the latest edition of the referenced document (including any amendments) applies. GB/T 15852.1 Information technology - Security techniques - Message authentication codes - Part 1: Mechanisms using a block cipher GB/T 17964 Information technology - Security techniques - Modes of operation for a block cipher GB/T 32905 Information security techniques - SM3 cryptographic hash algorithm GB/T 32907 Information security technology - SM4 block cipher algorithm GB/T 32915-2016 Information security technology - Randomness test methods for binary sequence GB/T 37092-2018 Information security technology - Security requirements for cryptographic modules GM/Z 4001 Cryptology terminology 3 Terms and definitions For the purposes of this document, the terms and definitions given in GB/T 32915-2016, GB/T 37092-2018 and GM/Z 4001 and the following apply. 3.1 entropy measure of the state of a closed system in terms of disorder, randomness or variability Note: The entropy of a random variable X is a mathematical measure of the amount of information obtained by observing X. 3.2 entropy source component, device, or event that generates an output, when the output is captured and processed in some way, a bit string containing entropy is generated 3.3 known-answer test method of testing a deterministic mechanism by which a given input is processed and the resulting output is then compared to a known value 3.4 entropy pool storage area where entropy is temporarily stored 3.5 min-entropy lower bound of entropy, which is a worst-case estimate for determining the entropy of a sample Note: If k is the maximum such that P(X = x)≤2-k, then the min-entropy of a bit string X (or, more precisely, the corresponding random variable forming such a random bit string) is k. That is, X contains at least k bits of entropy or randomness. 3.6 random number generator; RNG device or program for generating random binary sequences [Source: GB/T 32915-2016, 2.2] 3.7 seed bit string used as an input to a RNG 3.8 reseed function specific internal state transition function that updates the internal state when a new seed value is provided 3.9 critical security parameter security relevant secret information which may endanger the security of cryptographic module once divulged or modified Note: critical security parameter may be in plain text or encrypted. [Source: GB/T 37092-2018, 3.3] 3.10 deterministic random number generator; DRNG RNG that generates a sequence of randomly patterned bits by applying a deterministic algorithm to an appropriate random initial value (referred to as a "seed") 3.11 entropy rate average size of the entropy contained per bit of data 3.12 cryptographic boundary clearly defined perimeter that establishes physical and/or logical boundaries and includes all hardware, software and/or firmware components of the cryptographic module [Source: GB/T 37092-2018, 3.4] 3.13 software-based RNG RNG component in a software cryptographic module (or in the software component of a hybrid cryptographic module), either as a separate software cryptographic module or as part of a software cryptographic module (or the software component of a hybrid cryptographic module) 3.14 cryptographic module set of hardware, software, and/or firmware that implements security functions and is contained within the cryptographic boundary Note: By composition, cryptographic modules may be classified into hardware cryptographic module, firmware cryptographic module, software cryptographic module and hybrid cryptographic module. [Source: GB/T 37092-2018, 3.5] 3.15 public security parameter security-related public information which may endanger the security of cryptographic module once modified. Note: For example, public key, public key certificate, self-signed certificate, trust anchor, one-time password associated with the counter and the date and time kept internally. A public security parameter is considered protected if it cannot be modified or if it can be discovered by the cryptographic module after being modified. [Source: GB/T 37092-2018, 3.14]

Foreword i Introduction ii 1 Scope 2 Normative references 3 Terms and definitions 4 Abbreviations 5 Design of software-based RNGs 5.1 Basic model 5.2 Entropy source 5.3 Entropy pool 5.4 Entropy estimation 5.5 Robustness test 5.6 DRNG 6 Method for classification of security levels 6.1 General 6.2 Security level I in GB/T 37092 6.3 Security level II in GB/T 37092 7 Implementation 7.1 General 7.2 Definition of critical security parameter 7.3 Exclusivity of entropy source Annex A (Informative) Examples for structures of entropy source and entropy pool Annex B (Normative) Design of SM3 algorithm-based RNG Annex C (Informative) Entropy estimation method Annex D (Normative) Continuous health test methods Annex E (Normative) RNG design based on SM4 algorithm Bibliography