CANMatch: A Fully Automated Tool for CAN Bus Reverse Engineering based on Frame Matching
| Autor: | Romain Crunelle, Alessio Buscemi, Thomas Engel, Ion Turcanu, German Castignani |
|---|---|
| Přispěvatelé: | Fonds National de la Recherche - FnR [sponsor] |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Reverse engineering
Computer science [C05] [Engineering computing & technology] Matching (statistics) Computer Networks and Communications business.industry Computer science Frame (networking) Aerospace Engineering ComputerApplications_COMPUTERSINOTHERSYSTEMS computer.software_genre Sciences informatiques [C05] [Ingénierie informatique & technologie] In-Car Networking CAN bus Tokenization Tokenization (data security) Fully automated Automotive Engineering Automated Reverse Engineering Electrical and Electronic Engineering business computer Computer hardware CAN Bus |
| Popis: | Controller Area Network (CAN) is the most frequently used in-vehicle communication system in the automotive industry today. The communication inside the CAN bus is typically encoded using proprietary formats in order to prevent easy access to the information exchanged on the bus. However, it is still possible to decode this information through reverse engineering, performed either manually or via automated tools. Existing automated CAN bus reverse engineering methods are still time-consuming and require some manual effort, i.e., to inject diagnostic messages in order to trigger specific responses. In this paper, we propose CANMatch a fully automated CAN bus reverse engineering framework that does not require any manual effort and significantly decreases the execution time by exploiting the reuse of CAN frames across different vehicle models. We evaluate the proposed solution on a dataset of CAN logs, or traces, related to 479 vehicles from 29 different automotive manufacturers, demonstrating its improved performance with respect to the state of the art. |
| Databáze: | OpenAIRE |
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