Name
Title | ||
|---|---|---|
Spreading Patterns of Malicious Information on Single‐Lane Platooned Traffic in a Connected Environment |
Abstract | ||
|---|---|---|
AbstractAbstractThe connected vehicle can be easily attacked by cyber threats due to its communication through the wireless network in an open‐access environment. But very few studies have paid attention to the spreading of malicious information such as denial of service, message delay/replay, and eavesdropping generated by cyberattacks. To this end, this article introduces an analytical model, named vehicular malicious information propagation (VMIP), which integrates a classical epidemic model through two‐layer system structure, in which the upper layer describes the malicious information spreading and the lower describes the traffic flow dynamics. The proposed VMIP model is designated for platooned (one‐lane, particularly) traffic. Numerical experiments show the proposed model can efficiently describe the interactions between traffic dynamics and malicious information spreading; and the information propagation highly depends on traffic flow patterns. This article is expected to contribute to a better understanding of the impacts of cyberattacks on traffic and lays a foundation for future development of control strategies on mitigating the disastrous effects of cyberattacks. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1111/mice.12416 | Periodicals |
DocType | Volume | Issue |
Journal | 34 | 3 |
ISSN | Citations | PageRank |
1093-9687 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pengcheng Wang | 1 | 11 | 6.36 |
| Guizhen Yu | 2 | 49 | 11.52 |
| Xinkai Wu | 3 | 29 | 4.59 |
| Yunpeng Wang | 4 | 194 | 25.34 |
| Xiaozheng He | 5 | 53 | 7.99 |