Discovering CAN Specification Using On-Board Diagnostics

Hyun Min Song; Huy Kang Kim

doi:10.1109/MDAT.2020.3011036

Discovering CAN Specification Using On-Board Diagnostics

Hyun Min Song, Huy Kang Kim

Graduate School of Information Study

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

The work presented in this article leverages on-board diagnostics for reverse-engineering controller area network (CAN) traffic data. The analysis of these data can be utilized to improve in-vehicle network security. The article proposes a CAN reverse-engineering algorithm that can be used to discover CAN specification of a target vehicle related to significant vehicle parameters. Using the proposed method, security researchers can analyze CAN traffic of vehicles more efficiently and save time wasted by lack of information. It proposes a novel CAN reverse-engineering algorithm that autonomously analyzes CAN traffic data with onboard diagnostic (OBD-II) query responses to discover the information of CAN implementation associated with major vehicle parameters.

Original language	English
Article number	9145748
Pages (from-to)	93-103
Number of pages	11
Journal	IEEE Design and Test
Volume	38
Issue number	3
DOIs	https://doi.org/10.1109/MDAT.2020.3011036
Publication status	Published - 2021 Jun

Keywords

CAN Translation
Car Security
Controller Area Network
In-vehicle networks
Reverse Engineering

ASJC Scopus subject areas

Software
Hardware and Architecture
Electrical and Electronic Engineering

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10.1109/MDAT.2020.3011036

Cite this

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title = "Discovering CAN Specification Using On-Board Diagnostics",

abstract = "The work presented in this article leverages on-board diagnostics for reverse-engineering controller area network (CAN) traffic data. The analysis of these data can be utilized to improve in-vehicle network security. The article proposes a CAN reverse-engineering algorithm that can be used to discover CAN specification of a target vehicle related to significant vehicle parameters. Using the proposed method, security researchers can analyze CAN traffic of vehicles more efficiently and save time wasted by lack of information. It proposes a novel CAN reverse-engineering algorithm that autonomously analyzes CAN traffic data with onboard diagnostic (OBD-II) query responses to discover the information of CAN implementation associated with major vehicle parameters.",

keywords = "CAN Translation, Car Security, Controller Area Network, In-vehicle networks, Reverse Engineering",

author = "Song, {Hyun Min} and Kim, {Huy Kang}",

note = "Funding Information: This work was supported by Samsung Research Funding & Incubation Center for Future Technology under Project SRFC-TB1403-51.",

year = "2021",

month = jun,

doi = "10.1109/MDAT.2020.3011036",

language = "English",

volume = "38",

pages = "93--103",

journal = "IEEE Design and Test",

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PY - 2021/6

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AB - The work presented in this article leverages on-board diagnostics for reverse-engineering controller area network (CAN) traffic data. The analysis of these data can be utilized to improve in-vehicle network security. The article proposes a CAN reverse-engineering algorithm that can be used to discover CAN specification of a target vehicle related to significant vehicle parameters. Using the proposed method, security researchers can analyze CAN traffic of vehicles more efficiently and save time wasted by lack of information. It proposes a novel CAN reverse-engineering algorithm that autonomously analyzes CAN traffic data with onboard diagnostic (OBD-II) query responses to discover the information of CAN implementation associated with major vehicle parameters.

KW - CAN Translation

KW - Car Security

KW - Controller Area Network

KW - In-vehicle networks

KW - Reverse Engineering

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Discovering CAN Specification Using On-Board Diagnostics

Abstract

Keywords

ASJC Scopus subject areas

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