Work

Data-Driven Intrusion Detection for Intelligent Internet of Vehicles: A Deep Convolutional Neural Network-Based Method

Year: 2020

Type: article

Source: IEEE Transactions on Network Science and Engineering

DOI: 10.1109/tnse.2020.2990984

Authors: Laisen Nie, Zhaolong Ning, Xiaojie Wang, Xiping Hu, Jun Cheng, Yongkang Li

Institutions: Northwestern Polytechnical University, Chongqing University of Posts and Telecommunications, Dalian University of Technology, Hong Kong Polytechnic University, Chinese University of Hong Kong, Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, China Postdoctoral Science Foundation

Awards: 面向5G车联网的边缘网络资源管理关键技术研究, G1925719631, 面向软件定义数据中心网络的流量测量机制研究, G251183454, G3316990931, G8444824783

OpenAlex ID: W3020434223

FWCI: 9.431

Cites: 39

Cited by: 178

Related to: 10