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智能汽车数据分级分类问题研究

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智能汽车产业的蓬勃发展离不开对智能汽车数据的分析和运用,但因智能汽车数据涉及多领域多主体具有复杂性,需要进行数据分类分级管理。文章在梳理法律规定、规章规范和行业标准的基础上,通过分析当前智能汽车数据分类分级标准存在的问题,讨论智能汽车数据分类分级的方法,并对数据的分类分级管理实践提出建议,以完善智能汽车数据安全管理机制,促进智能汽车数据的安全有序流动,助力智能汽车产业发展。
Research on the problem of intelligent vehicle data classification and classification
The analysis and application of smart car data make the vigorous development of smart car industry,but because of the complexity of smart car data involving multiple fields and subjects,it is necessary to classify and manage data at different levels.On the basis of sorting out laws,regulations and industry standards,this paper analyzes the problems of current existing in the current classification and grading standards of smart car data,discuss the classification and grading methods of smart car,and make suggestions on data classification and grading management practices,so as to improve the smart car data security management mechanism,promote the safe and orderly flow of smart car data,and contribute to the development of smart car industry.

smart car datadata classificationdata security

郭梦航

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中国科学院大学公共政策与管理学院,北京 100190

智能汽车数据 数据分级分类 数据安全

2024

中国高新科技
中华预防医学会,国家食品安全风险评估中心

中国高新科技

ISSN:
年,卷(期):2024.(10)