| Title | UAV-assisted Abnormal Vehicle Behavior Detection in Internet of Vehicles |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Xu, Qichao, Zhao, Lifeng, Su, Zhou |
| Conference Name | 2021 40th Chinese Control Conference (CCC) |
| Date Published | jul |
| Keywords | abnormal behavior detection, bargaining game, Batteries, Computational modeling, Costs, cyber physical systems, Games, Human Behavior, human factors, Internet of Vehicles, Internet of Vehicles (IoVs), internet of vehicles security, Metrics, Pricing, pubcrawl, resilience, Resiliency, UAVs, unmanned aerial vehicles, vehicular ad hoc networks |
| Abstract | With advantages of low cost, high mobility, and flexible deployment, unmanned aerial vehicle (UAVs) are employed to efficiently detect abnormal vehicle behaviors (AVBs) in the internet of vehicles (IoVs). However, due to limited resources including battery, computing, and communication, UAVs are selfish to work cooperatively. To solve the above problem, in this paper, a game theoretical UAV incentive scheme in IoVs is proposed. Specifically, the abnormal behavior model is first constructed, where three model categories are defined: velocity abnormality, distance abnormality, and overtaking abnormality. Then, the barging pricing framework is designed to model the interactions between UAVs and IoVs, where the transaction prices are determined with the abnormal behavior category detected by UAVs. At last, simulations are conducted to verify the feasibility and effectiveness of our proposed scheme. |
| DOI | 10.23919/CCC52363.2021.9549523 |
| Citation Key | xu_uav-assisted_2021 |
UAV-assisted Abnormal Vehicle Behavior Detection in Internet of Vehicles