International Open Access Journal Platform

智能网联汽车数据安全法律规制研究——基于数据权益配置与分类分级的双重路径

Research on Legal Regulation of Data Security for Intelligent Connected Vehicles —A Dual Approach Based on Data Rights Allocation and Classification/Grading

Progress in Social Sciences / 2025,7(11): 888-892 / 2025-11-17 12 9

View Download PDF

• Authors: 李子涵 韩姿洁
• Information:

  上海政法学院，上海

• Keywords:
  Intelligent connected vehicles; Data security; Division of rights and responsibilities; Classification and graded protection
  智能网联汽车; 数据安全; 权责划分; 分类分级保护
• Abstract: In recent years, relevant domestic and international legislation, along with notable data breach incidents, have revealed the risk characteristics of intelligent connected vehicle data. These include the complexity of data types, the vulnerability of systems to attacks, the risk of leakage throughout the entire process, and the threat of cyber intrusions. China's current legal regulatory framework suffers from issues such as ambiguous attribution of rights and responsibilities for critical data and an incomplete classification and grading management system. This leads to inefficient corporate oversight and difficulties in balancing data utilization with security. Based on this, this paper proposes two recommendations: First, establish the ownership of critical data in intelligent connected vehicles, clarifying that automotive enterprises hold beneficial rights while bearing core protection obligations. Second, construct an operational classification and grading system for intelligent connected vehicle data, implementing differentiated protection strategies based on data levels and strictly restricting cross-border transmission of sensitive data. Refining data rights allocation and implementing classification and grading are crucial legal measures to safeguard critical data security in intelligent connected vehicles while balancing development and security. These steps hold significant importance for advancing the secure development of intelligent connected vehicle data. 近年来，国内外相关立法及典型数据泄露事件揭示了智能网联汽车数据在种类复杂性、系统易受攻击性、全流程泄露风险及网络入侵威胁等方面的特征。我国当前法律规制体系存在重要数据权责归属模糊、分类分级管理制度不健全等问题，导致企业监管低效、数据利用与安全平衡困难。基于此，本文提出两项建议：一是确立智能网联汽车重要数据的权利归属，明确汽车企业享有受益权并承担核心保护义务；二是构建可操作的智能网联汽车数据分类分级规则体系，根据不同级别数据实施差异化保护策略，并严格限制敏感数据跨境传输。完善数据权益配置与落实分类分级是保障智能网联汽车重要数据安全、平衡发展与安全的关键法律措施，对于推动智能网联汽车数据安全发展具有重要意义。
• DOI: https://doi.org/10.35534/pss.0711151 (registering DOI)
• Cite: 李子涵，韩姿洁．智能网联汽车数据安全法律规制研究——基于数据权益配置与分类分级的双重路径［J］．社会科学进展，2025，7（11）：888-892.