GB/T 45181-2024 PDF English
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| GB/T 45181-2024 | English | 320 |
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Security-related misbehavior detection mechanism for connected vehicles
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GB/T 45181-2024: Security-related misbehavior detection mechanism for connected vehicles---This is an excerpt. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.), auto-downloaded/delivered in 9 seconds, can be purchased online: https://www.ChineseStandard.net/PDF.aspx/GBT45181-2024
GB
NATIONAL STANDARD OF THE
PEOPLE’S REPUBLIC OF CHINA
ICS 35.240
CCS L 67
GB/T 45181-2024 / ITU-T X.1376.2021
Security-related misbehavior detection mechanism for
connected vehicles
(ITU-T X.1376.2021, Security-related misbehavior detection mechanism using big
data for connected vehicles, IDT)
Issued on: DECEMBER 31, 2024
Implemented on: APRIL 01, 2025
Issued by. State Administration for Market Regulation;
Standardization Administration of the People’s Republic of China.
Table of Contents
Foreword... 3
1 Scope... 5
2 Normative references... 5
3 Terms and definitions... 5
4 Abbreviated terms... 6
5 Conventions... 6
6 Cyber security-related misbehavior detection mechanism model... 7
7 Data collection... 8
8 Detection... 9
8.1 Data selection... 9
8.2 Detection engine... 10
8.3 Optimization... 15
Appendix A (Informative) Use cases for different detection methods... 16
A.1 Status chain detection case... 16
A.2 Control flow detection case... 17
A.3 Time series detection example... 17
A.4 Case study of correlation intelligence detection... 18
Bibliography... 20
Foreword
This document was drafted in accordance with the rules given in GB/T 1.1-2020,
Directives for standardization - Part 1.Rules for the structure and drafting of
standardizing documents.
This document is identical to ITU-T X.1376.2021, Security-related misbehavior
detection mechanism using big data for connected vehicles.
The following minimal editorial changes are made to this document.
-- Change the standard name to Security-related misbehavior detection
mechanism for connected vehicles;
-- Add lines and graphics of subsequent nodes to Figures 4, 5, 6, 7 and 8;
-- Change the meanings of letters in Figures 4, 6 and 8 to notes for explanation.
Please note that some of the contents of this document may involve patents. The issuing
organization of this document is not responsible for identifying patents.
This document was proposed by the Ministry of Industry and Information Technology
of the People's Republic of China.
This document shall be under the jurisdiction of National Technical Committee 485 on
Communication of Standardization Administration of China (SAC/TC 485).
Drafting organizations of this document. Beijing Qihoo Technology Co., Ltd., China
Academy of Information and Communications Technology, National Computer
Network Emergency Response Technical Team/Coordination Center of China, China
Information and Communication Technology Group Co., Ltd., China Mobile
Communications Group Co., Ltd., China Telecom Group Co., Ltd. Guangdong
Research Institute, China United Network Communications Group Co., Ltd., Institute
of Information Engineering, Chinese Academy of Sciences, National Radio and
Television Administration Radio and Television Planning Institute, FAW Car Co., Ltd.,
Chongqing Changan Automobile Co., Ltd., Dongfeng Motor Company Limited
Dongfeng Nissan Passenger Vehicle Company, Topsec Network Technology Inc.,
Beijing Baidu Netcom Science Technology Co., Ltd., NSFOCUS Technologies, Inc.,
Tencent Cloud Computing (Beijing) Company Limited, Beijing Tong Cybsec
Technology Co., LTD., New H3C Technologies Co., Ltd., Zhengzhou XindaJiean
Information Technology Co., Ltd., Xi’an University of Posts & Telecommunications,
Shenzhen University, Guangzhou University, Beijing Certificate Authority Co., Ltd.,
GuangDong Oppo Mobile Telecommunications Corp., Ltd.
Main drafters of this document. Yan Minrui, Zhang Yi, Ge Yuming, Lv Xinhong, Zhang
Xiru, Yao Yinan, Yu Rundong, Fang Ji, Wang Weidong, Shu Min, Wang Hui, Jin
Security-related misbehavior detection mechanism for
connected vehicles
1 Scope
This document provides a recommendation for the security-related misbehavior
detection mechanism for connected vehicles. The mechanism includes the following
steps.
a) Data collection. Describe the data and information types obtained from
different sources for misbehavior detection in details, where the sources
include vehicles, infrastructure, original equipment manufacturers (OEMs),
and suppliers. Data collection methods and procedures are beyond the scope
of this document.
b) Detection. Use the collected data to monitor misbehavior.
This document is applicable to the Internet of Vehicles and is intended to facilitate
designers and security solution providers to detect cyber security-related misbehavior.
The methods and procedures for data acquisition and the use of notification modules
are beyond the scope of this document.
2 Normative references
There are no normative references in this document.
3 Terms and definitions
For the purposes of this document, the following terms and definitions apply.
3.1
misbehavior
A behavior of providing false or misleading data in order to hinder other service
recipients or to operate in a manner beyond the scope of their authorization. The
behavior may originate from components internal or external to the vehicle system.
Note 1.Derived from ISO/TR 17427-4.
......
Source: Above contents are excerpted from the full-copy PDF -- translated/reviewed by: www.ChineseStandard.net / Wayne Zheng et al.
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