ITSC 2024 Paper Abstract

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Paper ThAT8.6

Choudhury, Tashfique Hasnine (University of Florida), DUAN, CHENGWEI (University of Florida), zhang, hanyu (University of Florida), Du, Lili (University of Florida), Ray, Sandip (University of Florida)

Exploration and Detection of Cyber-Attacks on MPC-Based Vehicular Platoons

Scheduled for presentation during the Regular Session "Advanced Vehicle Safety Systems II" (ThAT8), Thursday, September 26, 2024, 12:10−12:30, Salon 16

2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), September 24- 27, 2024, Edmonton, Canada

This information is tentative and subject to change. Compiled on December 26, 2024

Keywords Advanced Vehicle Safety Systems, Multi-autonomous Vehicle Studies, Models, Techniques and Simulations, Cooperative Techniques and Systems

Abstract

We develop an extensible platform for exploring cyber-attacks on connected and autonomous vehicle (CAV) platoon controllers. A unique feature of our platform is the ability to address a large spectrum of cyber threats, including new attacks designed after deployment. This platform facilitates systematic exploration of cyber-attacks, helping to uncover real-time vulnerabilities across different designs of platoon controllers. Additionally, we introduce a novel, dual-stage detection mechanism that employs a time-series machine learning (ML) model for the real-time detection of attacks on the perception channels of a Model Predictive Control (MPC)-based CAV platoon. We present extensive experimental results to showcase the effectiveness and feasibility of our approach.

 

 

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