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GB/T 41773-2022Information security technology—Security requirements of gait recognition data (English PDF)

信息安全技术步态识别数据安全要求

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Issued by

SAMR; SAC

Level / Type

National · Recommended

Issue date

October 14, 2022

Implementation date

May 1, 2023

Scope

GB/T 41773-2022 is the English-translated version of 信息安全技术步态识别数据安全要求.

GB/T 41773-2022 sets the security requirements that apply to gait recognition data in China.

It covers the whole handling of that data, from collection, storage and transmission to use, processing, provision, disclosure and deletion, and is addressed to the organisations that process gait recognition data, while regulators and third-party assessors can use it as a reference when they supervise or evaluate those organisations.

It defines gait recognition, the gait sample, the gait silhouette obtained by segmenting the sample and the gait feature extracted from it, describes the typical scenarios and the risks of each activity, and then gives basic requirements followed by one clause per activity.

Appendices list common risks and an example consent form. Issued on 14 October 2022, it has applied since 1 May 2023.

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Document preview — GB/T 41773-2022

National Standard of the People's Republic of China

ICS: 35.030
Classification: L 80

Issued by: State Administration for Market Regulation; Standardization Administration of the PRC

Preface
1 Scope
2 Normative references
3 Terms and Definitions
4 Overview
4.1 Gait recognition data activity
4.2 Typical scenarios of gait recognition
4.3 Gait recognition data activity security risks
5 Basic Safety Requirements
6 Data collection
7 Data Storage and Transmission
8 Data usage
9 Data processing, provision and disclosure
10 Data deletion
Appendix A (Informative) Common Security Risks for Gait Recognition Data
A.1 Security Risk Description
A.2 Common security risks and terms comparison table
Appendix B (Informative) Example of Informed Consent Form for Scientific Experiment Scenario
Reference

Foreword

This document is in accordance with the provisions of GB/T 1.1-2020 "Guidelines for Standardization Work Part 1: Structure and Drafting Rules of Standardization Documents" drafted.

1 Scope

This document specifies the security of gait recognition data collection, storage, transmission, use, processing, provision, disclosure, deletion and other data processing activities.

This document applies to gait recognition data processors to regulate data processing activities, regulatory authorities, third-party evaluation agencies to gait recognition data Processing activities are monitored, managed, and evaluated for reference use.

2 Normative references

The contents of the following documents constitute essential provisions of this document through normative references in the text. Among them, dated citations documents, only the version corresponding to that date applies to this document; for undated references, the latest edition (including all amendments) applies to this document.

GB/T 25069 Information Security Technical Terminology

GB/T 35273 Information Security Technology Personal Information Security Specification

GB/T 37988 Information Security Technology Data Security Capability Maturity Model

GB/T 39335 Information Security Technology Personal Information Security Impact Assessment Guide

GB/T 40660 Information Security Technology Basic Requirements for Biometric Information Protection

GB/T 41479 Information Security Technology Network Data Processing Security Requirements

3 Terms and Definitions

GB/T 25069, GB/T 35273, GB/T 37988, GB/T 40660 and GB/T 41479 and the following terms and definitions applies to this document.

3.1 Gait recognition

A technology for identifying natural persons based on the biological characteristics and behavioral characteristics of natural persons contained in gait.

Note: In addition to the application scenarios of identification, gait recognition can also be used in non-identification application scenarios, such as behavior analysis, posture analysis or anomaly analysis.

3.2 Gait sample

Gait videos or image sequences of natural persons obtained through collection, preprocessing, etc.

Note: The gait sample contains the raw (cut) video or continuous image sequence of the gait cycle of a natural person, and contains information such as clothing, shoes and hats, and carrying objects.

3.3 Gait silhouettes

The sequence of gait samples after segmentation.

Note: After the gait sample is processed, the gait silhouette can be obtained, and it is also possible to obtain a sequence of human body parts segmentation images, a sequence of three-dimensional human body models, etc. Gait silhouette usually It is a black and white image, the body area is white, and the background area is black.

3.4 Gait feature

Data extracted from gait silhouettes for alignment.

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This preview omits tables, figures, formulas and parts of the technical clauses. The complete document — 15 pages — is available in the English PDF.

Referenced standards

Normative references

Cited by

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