Research on data security risks of intelligent connected vehicles based on bibliometrics

The intelligent networked automobile industry is developing rapidly, however, its data security is also undergoing great challenges. In order to carry out the research on data security risk in the intelligent networked automobile industry, the current research status of data security risk in the intelligent networked automobile industry should first be comprehensively sorted out and analyzed, so as to find the entry point of the research. This study adopts the method of bibliometrics to statistically and analytically analyze the existing research on data security risk in the intelligent networked automobile industry from the perspectives of the number of existing literatures, relevance, and popular research directions, etc., so as to further sort out the content and progress of the research on data security risk in the intelligent networked automobile industry, and then provide certain theoretical guidance and practical suggestions for the healthy development of the intelligent networked automobile industry.

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Published
2024-12-11
DOI
https://doi.org/10.1117/12.3054241
Primary Topic
Law, AI, and Intellectual Property
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on data security risks of intelligent connected vehicles based on bibliometrics

Changdong Zhou, Dingnan Xie, Wei Zhang, Minmin Yang
Law, AI, and Intellectual Property
article

Research on data security risks of intelligent connected vehicles based on bibliometrics

Changdong Zhou, Dingnan Xie, Wei Zhang, Minmin Yang
article en

Abstract

The intelligent networked automobile industry is developing rapidly, however, its data security is also undergoing great challenges. In order to carry out the research on data security risk in the intelligent networked automobile industry, the current research status of data security risk in the intelligent networked automobile industry should first be comprehensively sorted out and analyzed, so as to find the entry point of the research. This study adopts the method of bibliometrics to statistically and analytically analyze the existing research on data security risk in the intelligent networked automobile industry from the perspectives of the number of existing literatures, relevance, and popular research directions, etc., so as to further sort out the content and progress of the research on data security risk in the intelligent networked automobile industry, and then provide certain theoretical guidance and practical suggestions for the healthy development of the intelligent networked automobile industry.

Changjiang Institute of Survey, Planning, Design and Research (CN), City University of Macau (MO)
Openalex Percentile: Top 79%
Law, AI, and Intellectual Property
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