中圖分類號：TP311.13文獻標識碼：ADOI:10.19358/j.issn.2097-1788.2024.04.011
引用格式：冀智華，王瑞，張巧.基于特征分析的智能網聯(lián)汽車數(shù)據(jù)分級方法研究［J］.網絡安全與數(shù)據(jù)治理，2024，43（4）：67-70.

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

Abstract： 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.

Key words : intelligent connected vehicle；data classification；feature analysis；analytical hierarchy process