01658561

Component

Regardless of highly promising future of the connected vehicle technology, its communication through wireless network is vulnerable to cyber threats leading to serious safety and security issues. This paper focuses on how the malicious information spreads in connected vehicles environment. A vehicular malicious information propagation (VMIP) model is developed in this paper using a two-layer structure: the upper layer presents the information dissemination patterns using a biological epidemics model named susceptible-infected-recovered (SIR), and the lower layer describes the vehicular dynamics using a classical intelligent driver model (IDM). A channel model with signal fading is also applied to connect the upper and lower layers. To verify the proposed model, the authors presented numerical simulations under various traffic conditions from the microscopic view. These results demonstrated that the spread of malicious information will exponentially grow and information propagation wave highly depends on vehicle dynamic parameters and traffic conditions.

This paper was sponsored by TRB committee ABR10 Standing Committee on Critical Transportation Infrastructure Protection.

18-06651

English

7p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References

Computer security; Connected vehicles; Intelligent vehicles; Privacy; Traffic flow; Traffic platooning; Traffic safety; Traffic simulation; Vehicle to infrastructure communications; Vehicle to vehicle communications; Wireless communication systems

Cyberattacks

Data and Information Technology; Highways; Planning and Forecasting; Safety and Human Factors; Security and Emergencies; Vehicles and Equipment

Transportation Research Board Annual Meeting 2018 Paper #18-06651

TRIS, TRB, ATRI

Jan 8 2018 11:43AM