| Full text | |
| Author(s): |
Bonfim, Kenniston Arraes
;
Dutra, Fernando da Silva
;
Travagini Siqueira, Carlos Eduardo
;
Meneguette, Rodolfo Ipolito
;
dos Santos, Aldri Luiz
;
Pereira Junior, Lourenco Alves
Total Authors: 6
|
| Document type: | Journal article |
| Source: | 2023 IEEE 97TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2023-SPRING; v. N/A, p. 5-pg., 2023-01-01. |
| Abstract | |
Nowadays, the growth of privacy concerns imposes new requirements on security mechanisms deployed on autonomous vehicles. Assessing users' misbehavior in Cooperative Intelligent Transport Systems (C-ITS) is crucial to keep them safe. Notwithstanding, data is a valuable asset, and exchanging them (e.g., Basic Safety Message-BSM) over the external network exposes sensitive data and compromises the privacy of CITS participants. This paper presents a federated learning-based architecture that shares model parameters for position spoofing detection in C-ITS. Our solution consists of buffering the host's received messages and using them as predictors for misbehavior. To this end, we derived five novel features and group messages into analysis windows varying from 2 to 23 BSMs to predict dynamic attacker behavior better. Our results demonstrate the feasibility of training the models on the onboard unit (OBU) and sharing the models' parameters in a federated learning-based architecture. Therefore, we bring users' privacy to the table by preserving a local dataset, balancing the tradeoff between a rapid training process and reliable misbehavior detection. Moreover, our multilayer perceptron model outperforms the detecting position spoofing attacks in state-of-the-art works. (AU) | |
| FAPESP's process: | 20/09850-0 - Applied Artificial Intelligence Research Center: accelerating the evolution of industries toward standard 5.0 |
| Grantee: | Jefferson de Oliveira Gomes |
| Support Opportunities: | Research Grants - Research Centers in Engineering Program |
| FAPESP's process: | 20/07162-0 - Services for an intelligent transport system |
| Grantee: | Rodolfo Ipolito Meneguette |
| Support Opportunities: | Regular Research Grants |