摘要
随着车联网数据规模迎来爆发式增长,车联网数据安全风险也不断增加。为提高车联网数据安全管理水平,分析了车联网数据发展的关键特征:新网络形态、新数据构成、新流转体系,并重点探讨了因数据本身特性、数据流转过程、攻强守弱态势带来的数据安全挑战。在此基础上,提出了三点前瞻性启示,一是建立面向不同主体的数据分级分类安全管理机制;二是形成体系化纵深防御方案;三是坚持整体安全观和融合安全策略。
With the explosive growth of the data scale and industry scale of the Internet of Vehicles(IoV),the data security risks of the Internet of Vehicles data are also increasing.In order to improve the data security governance level of Internet of vehicles data,this paper first analyzes the key characteristics of the development of Internet of vehicles,including new network form,new data composition,and new data flow system.Then,this paper mainly discusses the data security challenges brought by data itself,data flow process,strong offensive and weak defensive situation.Furthermore,this paper proposes three prospective enlightenment:the establishment of data classification security management mechanism for different subjects;form its own system of defense in depth scheme;adhere to the integrated security strategy based on the holistic security concept.
作者
李玉峰
刘奇
魏亮
LI Yufeng;LIU Qi;WEI Liang(Shanghai University,Shanghai 200444,China;Purple Mountain Laboratories,Nanjing 211111,China;China Academy of Information and Communications Technology,Beijing 100191,China)
出处
《信息通信技术与政策》
2023年第2期2-8,共7页
Information and Communications Technology and Policy
基金
河南省重大科技专项项目(No.221100240100)
上海市2021年度“科技创新行动计划”高新技术领域项目(No.21511102500)。
关键词
车联网
数据安全
数据流转
数据分级分类
纵深防御
Internet of Vehicles
data security
date flow
data classification
defense in depth
