Article(id=1195431907707105810, tenantId=1146029695717560320, journalId=1189645257101713411, issueId=1195431904737542161, articleNumber=null, orderNo=null, doi=10.19822/j.cnki.1671-6329.20240032, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=null, receivedDateStr=null, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1762942776847, onlineDateStr=2025-11-12, pubDate=1741104000000, pubDateStr=2025-03-05, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1762942776847, onlineIssueDateStr=2025-11-12, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1762942776847, creator=13701087609, updateTime=1762942776847, updator=13701087609, issue=Issue{id=1195431904737542161, tenantId=1146029695717560320, journalId=1189645257101713411, year='2025', volume='', issue='3', pageStart='1', pageEnd='62', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1762942776138, creator=13701087609, updateTime=1762945355266, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1195442722434757298, tenantId=1146029695717560320, journalId=1189645257101713411, issueId=1195431904737542161, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1195442722434757299, tenantId=1146029695717560320, journalId=1189645257101713411, issueId=1195431904737542161, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=37, endPage=41, ext={EN=ArticleExt(id=1195431907891655188, articleId=1195431907707105810, tenantId=1146029695717560320, journalId=1189645257101713411, language=EN, title=Research on the Current Situation, Problems and Countermeasures of Data Security in Chinese Automotive Industry, columnId=null, journalTitle=Automotive Digest, columnName=null, runingTitle=null, highlight=null, articleAbstract=

To enhance data security management in the automotive industry and establish a robust industry-wide data security management system, this paper analyzes policies, standards, current state of data security and the compliance of enterprise data security. The following issues are identified: multiple layers of data regulation lacking effective coordination, inconsistent standards and specifications, a weak supply chain protection system, and a shortage of specialized talent. In response to these challenges, the following development suggestions are proposed: Establish a comprehensive regulatory mechanism for data security in the automotive industry. Clearly define the boundaries of responsibility for different processing entities. Accelerate the classification and grading of data, as well as the management of critical data. Enhance data security management and risk prevention awareness and capabilities throughout the entire industry chain. Strengthen the training and development of professionals specializing in comprehensive industry data security.

, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=null, fund=null, authors=null, authorsList=Kai Xue, Yang Wen), CN=ArticleExt(id=1195431908134924822, articleId=1195431907707105810, tenantId=1146029695717560320, journalId=1189645257101713411, language=CN, title=我国汽车行业数据安全现状、问题及对策研究, columnId=0, journalTitle=汽车文摘, columnName=, runingTitle=null, highlight=null, articleAbstract=

为了更好地推进汽车行业数据安全管理，建设行业数据安全管理体系，分析了汽车行业数据安全政策、标准，数据安全现状、企业数据安全合规情况，总结了当前汽车行业数据安全存在数据多重监管、缺乏有效协同、标准规范不统一、供应链防护体系薄弱、缺乏专业人才等问题。针对以上问题，提出以下发展建议：统筹建立汽车行业数据安全监管机制，根据不同处理主体明确责任边界，加快数据分类分级、重要数据管理，提升全产业链数据安全管理和防范意识和能力，以及加强行业数据安全综合人才培养。

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(2017-05-24)[2017-05-24]. https://www.bzwy.cn/details/87cd482f-be80-11ee-a25f-b8599f4d3b32?bzbh=UNE-EN%20ISO%2FIEC%2027001%3A2017&bzid=87cd482f-be80-11ee-a25f-b8599f4d3b32&uuid=44BEC0C1D4D891754B538D41E006EE29., articleTitle=null, refAbstract=null), Reference(id=1195656794094744045, tenantId=1146029695717560320, journalId=1189645257101713411, articleId=1195431907707105810, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=https://www.bzwy.cn/details/87cd4be9-be80-11ee-a25f-b8599f4d3b32?bzbh=UNE-EN%20ISO%2FIEC%2027002%3A2017&bzid=87cd4be9-be80-11ee-a25f-b8599f4d3b32&uuid=C618808557CB9F64AB9BB35344A3D15F, language=null, rfNumber=[12], rfOrder=11, authorNames=西班牙标准化和认证协会, journalName=信息技术安全技术信息安全管理实用规则: ISO/IEC 27002: 2017, refType=null, unstructuredReference=西班牙标准化和认证协会. 信息技术安全技术信息安全管理实用规则: ISO/IEC 27002: 2017[S/OL]. (2017-05-24)[2017-05-24]. https://www.bzwy.cn/details/87cd4be9-be80-11ee-a25f-b8599f4d3b32?bzbh=UNE-EN%20ISO%2FIEC%2027002%3A2017&bzid=87cd4be9-be80-11ee-a25f-b8599f4d3b32&uuid=C618808557CB9F64AB9BB35344A3D15F., articleTitle=null, refAbstract=null), Reference(id=1195656794161852910, tenantId=1146029695717560320, journalId=1189645257101713411, articleId=1195431907707105810, doi=null, pmid=null, pmcid=null, year=2023, volume=null, issue=11, pageStart=21, pageEnd=null, url=null, language=null, rfNumber=[13], rfOrder=12, authorNames=《中国工业和信息化》编辑部, journalName=中国工业和信息化, refType=null, unstructuredReference=《中国工业和信息化》编辑部. 吉利汽车数据安全治理硬实力[J]. 中国工业和信息化, 2023(11): 21., articleTitle=吉利汽车数据安全治理硬实力, refAbstract=null), Reference(id=1195656794216378863, tenantId=1146029695717560320, journalId=1189645257101713411, articleId=1195431907707105810, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=005, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[14], rfOrder=13, authorNames=赵丽梅, journalName=中国青年报, refType=null, unstructuredReference=赵丽梅. 共谋数据安全与治理的高质量发展之道[N]. 中国青年报, 2023-05-30 ( 005)., articleTitle=共谋数据安全与治理的高质量发展之道, refAbstract=null), Reference(id=1195656794275099120, tenantId=1146029695717560320, journalId=1189645257101713411, articleId=1195431907707105810, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=003, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[15], rfOrder=14, authorNames=卢梦琪, journalName=中国电子报, refType=null, unstructuredReference=卢梦琪. 加快制定汽车全生命周期数据安全标准[N]. 中国电子报, 2023-03-10 ( 003)., articleTitle=加快制定汽车全生命周期数据安全标准, refAbstract=null), Reference(id=1195656794338013681, tenantId=1146029695717560320, journalId=1189645257101713411, articleId=1195431907707105810, doi=null, pmid=null, pmcid=null, year=2023, volume=null, issue=2, pageStart=18, pageEnd=21, url=null, language=null, rfNumber=[16], rfOrder=15, authorNames=赵子垚, journalName=汽车纵横, refType=null, unstructuredReference=赵子垚. 车企数据安全风险加剧[J]. 汽车纵横, 2023(2): 18-21., articleTitle=车企数据安全风险加剧, refAbstract=null), Reference(id=1195656794434482674, tenantId=1146029695717560320, journalId=1189645257101713411, articleId=1195431907707105810, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=012, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[17], rfOrder=16, authorNames=杨梓, journalName=中国能源报, refType=null, unstructuredReference=杨梓. 新能源车企须系好“数据安全带”[N]. 中国能源报, 2023-01-02 ( 012)., articleTitle=新能源车企须系好“数据安全带”, refAbstract=null)], funds=null, companyList=[AuthorCompany(id=1195656792031146442, tenantId=1146029695717560320, journalId=1189645257101713411, articleId=1195431907707105810, xref=null, ext=[AuthorCompanyExt(id=1195656792039535051, tenantId=1146029695717560320, journalId=1189645257101713411, articleId=1195431907707105810, companyId=1195656792031146442, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=China Automotive Engineering Research Institute Co. 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文件类型	文件名称
法律	《中华人民共和国网络安全法》 《中华人民共和国数据安全法》 《中华人民共和国个人信息保护法》
规章	《工业和信息化领域数据安全管理办法（试行）》 《汽车数据安全管理若干规定（试行）》
标准	GB/T 22239—2019《信息安全技术 网络安全等级保护基本要求》[7] GB/T 22240—2020《信息安全技术 网络安全等级保护定级指南》[8] GB/T 35273—2020《信息安全技术 个人信息安全规范》[9] GB/T 41871—2022《信息安全技术 汽车数据处理安全要求》[10] R/T 0197—2020《金融数据安全 数据安全分级指南》[11] YD/T 3751—2020《车联网信息服务 数据安全技术要求》[12] YD/T3746—2020《车联网信息服务 用户个人信息保护要求》[13]
其他国内 文件	《智能网联汽车数据分类分级实践指南》 《北京市高级别自动驾驶测试示范区数据分类分级白皮书》
国外相关 文件	ISO/IEC 27001:2013《信息技术 安全技术 信息安全管理体系要求》[14] ISO/IEC 27002:2013《信息技术 安全技术 信息安全管理实用规则》[15]

), ArticleFig(id=1195656793255883233, tenantId=1146029695717560320, journalId=1189645257101713411, articleId=1195431907707105810, language=CN, label=表1, caption=

企业制定数据分类分级的依据

, figureFileSmall=null, figureFileBig=null, tableContent=

文件类型	文件名称
法律	《中华人民共和国网络安全法》 《中华人民共和国数据安全法》 《中华人民共和国个人信息保护法》
规章	《工业和信息化领域数据安全管理办法（试行）》 《汽车数据安全管理若干规定（试行）》
标准	GB/T 22239—2019《信息安全技术 网络安全等级保护基本要求》[7] GB/T 22240—2020《信息安全技术 网络安全等级保护定级指南》[8] GB/T 35273—2020《信息安全技术 个人信息安全规范》[9] GB/T 41871—2022《信息安全技术 汽车数据处理安全要求》[10] R/T 0197—2020《金融数据安全 数据安全分级指南》[11] YD/T 3751—2020《车联网信息服务 数据安全技术要求》[12] YD/T3746—2020《车联网信息服务 用户个人信息保护要求》[13]
其他国内 文件	《智能网联汽车数据分类分级实践指南》 《北京市高级别自动驾驶测试示范区数据分类分级白皮书》
国外相关 文件	ISO/IEC 27001:2013《信息技术 安全技术 信息安全管理体系要求》[14] ISO/IEC 27002:2013《信息技术 安全技术 信息安全管理实用规则》[15]

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