Standard No.:	GM/T 0103-2021
English Name:	General framework of random number generator
Chinese Name:	随机数发生器总体框架
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:	6500 words
Price(USD):	195.0
Delivery:	via email in 1 business day

General framework of random number generator 1 Scope This document is a general higher-level standard for design of random number generators and specifies the general framework for design of random number generators. This document is applicable to the research, development and test of random number generators, and may also promote the formulation of relevant standards for random number generators. 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 25069 Information security techniques - Terminology GB/T 32915 Information security technology - Randomness test methods for binary sequence GM/T 0062 Random number test requirements for cryptographic modules GM/T 0078-2020 The design guidelines for cryptographic random number generation module GM/T 0105 Design guide for software-based random number generators GM/Z 4001 Cryptology terminology 3 Terms and definitions For the purposes of this document, the terms and definitions given in GB/T 25069, GB/T 32915, GM/T 0062, GM/T 0078, GM/T 0105 and GM/Z 4001 and the following apply. 3.1 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 [Source: GB/T 25069-2010, 2.1.31] 3.2 thermal noise spurious electronic signals (also known as "white noise") generated in devices (such as operational amplifiers, reverse biased diodes or resistors) that are normally undesirable Note: This phenomenon is usually minimized, but it may be used as an entropy source for random bitstream generation due to the unpredictability. [Source: GB/T 25069-2010, 2.2.4.8] 3.3 chaotic oscillation complex and disordered oscillation state of a nonlinear system Note: It is rooted in the local instability of the system, manifested as initial condition sensitivity and intrinsic randomness. 3.4 phase jitter fast, short-term and random fluctuation of wave phase caused by time-domain instability 3.5 quantum random process random phenomenon/process with internal quantum randomness Note: The randomness is explained and guaranteed by the principles of quantum mechanics. The quantum random process used to generate random numbers generally includes single photon path selection, number of photons contained in optical pulses, time interval between adjacent photons, vacuum fluctuation, laser phase noise and amplified spontaneous emission noise. 3.6 random number generator device or program for generating random binary sequences [Source: GB/T 32915-2016, 2.2] 3.7 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) [Source: GM/T 0105-2021, 3.13] 3.8 raw random number sequence discrete random number sequence obtained through digitization of entropy source output 3.9 random number sequence number sequence in which each item cannot be inferred when the others are known [Source: GB/T 25069-2010, 2.2.2.184]

Foreword i 1 Scope 2 Normative references 3 Terms and definitions 4 General framework for design of random number generator 4.1 General 4.2 Entropy source 4.3 Entropy evaluation 4.4 Post-processing 4.5 Test Annex A (Informative) Standard system framework of random number generator Bibliography