基于特征分析的智能网联汽车数据分级方法研究  

Research on data classification and grading methods for intelligent connected vehicles based on feature analysis

作　　者：冀智华 王瑞 张巧 Ji Zhihua;Wang Rui;Zhang Qiao(CATARC Intelligent and Connected Technology Co.,Ltd.,Tianjin 300300,China)

机构地区：[1]中汽智联技术有限公司,天津300300

出　　处：《网络安全与数据治理》2024年第4期67-70,共4页CYBER SECURITY AND DATA GOVERNANCE

摘　　要：当前,智能网联技术的发展使得汽车成为数据交互的重要载体,智能网联汽车所产生的数据量呈现指数型增长趋势,国家对于数据安全的重视程度也在不断加强。在此背景下,从行业实践角度出发,对我国当前数据安全监管现状、数据分级方法进行梳理,最后提出一种基于特征分析的数据分级方法,助力企业加强数据治理、满足政府合规要求。Currently,the development of intelligent connected technology has made automobiles become an important carrier of data exchange.The amount of data generated by intelligent connected vehicles is showing an exponential growth trend,and the country′s emphasis on data security is also constantly strengthening.In this context,this article,from the perspective of industry practice,sorts out the current situation of data security supervision and data classification and grading methods in China.Finally,a data grading method based on feature analysis is proposed to assist enterprises in strengthening data governance and meeting government compliance requirements.

关 键 词：智能网联汽车 数据分级 特征分析 层级分析 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]