Abstract
This demonstration introduces an adaptive fuzzing physical test bed aimed at identifying vulnerabilities within automotive systems, specifically focusing on the Controller Area Network (CAN) bus. By employing "Automated Reverse Engineering-Guided Fuzzing"(ARE-GF), our framework evaluates the security resilience of the CAN network against sophisticated attacks. The demo showcases live demonstrations of the fuzzing process, the creation of the test bed using cost-effective electrical components, real-time ECU response analysis, and examples of discovered vulnerabilities, providing insights into advanced automotive cybersecurity testing methodologies.
| Original language | English |
|---|---|
| Title of host publication | ACM SIGCOMM Posters and Demos '24 |
| Subtitle of host publication | Proceedings of the ACM SIGCOMM 2024 Conference: Posters and Demos |
| Publisher | ACM |
| Pages | 110-112 |
| Number of pages | 3 |
| Edition | 1 |
| ISBN (Electronic) | 9798400707179 |
| DOIs | |
| Publication status | Published - 5 Aug 2024 |
| Event | 2024 SIGCOMM Poster and Demo Sessions, SIGCOMM Posters and Demos 2024 - Sydney, Australia Duration: 4 Aug 2024 → 8 Aug 2024 |
Conference
| Conference | 2024 SIGCOMM Poster and Demo Sessions, SIGCOMM Posters and Demos 2024 |
|---|---|
| Country/Territory | Australia |
| City | Sydney |
| Period | 4/08/24 → 8/08/24 |
Bibliographical note
Publisher Copyright:© 2024 Copyright held by the owner/author(s).
Keywords
- CAN bus
- CAN security
- CAN test-bed
- vulnerability detection
ASJC Scopus subject areas
- Computer Networks and Communications
- Hardware and Architecture
- Software