Work

Optimal Strategy for Moving Target Defense on the Internet of Vehicles Based on Game Theory and Reinforcement Learning

Year: 2025

Type: article

Source: IEEE Transactions on Vehicular Technology

DOI: 10.1109/tvt.2025.3602902

Authors: Chao Guo, Tingting Zhu, Buxin Guo, Cheng Gong, Haitao Xu, Zhu Han

Institutions: Beijing Electronic Science and Technology Institute, China United Network Communications Group (China), University of Science and Technology Beijing, University of Houston

Language: English

Topic: Vehicular Ad Hoc Networks (VANETs)

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Beijing Municipality, Fundamental Research Funds for the Central Universities

Awards: G2517853933, G2638804956, G4044445141, G8176371462

OpenAlex ID: W4413677593

FWCI: 0.462

Cites: 29

Cited by: 2

Related to: 10