摘要
通信和互联网技术的发展带动了汽车产业走向智能网联时代,但随之产生的信息安全问题成为制约车联网推广应用的关键因素。为了能够提前识别车联网系统的安全威胁,实现有效响应,文章提出一种基于大数据分析的车联网安全态势感知模型。该模型应用大数据分析技术对车联网的安全态势数据进行收集处理;然后,使用层次化分析模型及RBF神经网络算法对安全态势进行评估和预测;最后,采用试验数据验证模型的科学性。结果表明该模型能够实现车联网安全态势的有效感知,为车联网的安全防护与及时响应提供参考依据。
The development of communication and Internet technology has led the automobile industry to the era of intelligent Internet connection.However,the information security problem has become a key factor restricting the application of Internet of vehicles.In order to identify the security threats of the Internet of vehicles in advance and realize the effective response,a security situation awareness model based on big data analysis is proposed in this paper.The model uses big data analysis technology to collect and process the security situation data of the Internet of vehicles;then,it uses the hierarchical analysis model and RBF neural network algorithm to evaluate and predict the security situation;finally,it uses the experimental data to verify the scientific nature of the model,and the results show that the model can realize the effective perception of the security situation of the Internet of vehicles,which is the security protection of the Internet of vehicles and Time response provides reference basis.
作者
王建
李玉洲
张宁
任翔
陈晓光
李婧瑜
Wang Jian;Li Yuzhou;Zhang Ning;Ren Xiang;Chen Xiaoguang;Li Jingyu(China Intelligent and Connected Vehicles(Beijing)Research Institute Co.,Ltd.,Beijing 100176;China Automotive Engineering Research Institute Co.,Ltd.,Beijing 100086;Eversec Technology Co.,Ltd.,Beijing 100086;Beijing Open University,Beijing 100081)
出处
《汽车实用技术》
2021年第9期20-24,共5页
Automobile Applied Technology
关键词
车联网
信息安全
大数据分析
安全态势感知
Internet of vehicles
Information security
Big data analysis
Security situation awareness
