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(Semi-)Automatically Parsing Private Protocols for In-Vehicle ECU Communications
- Source :
- Entropy, Vol 23, Iss 1495, p 1495 (2021), Entropy, Volume 23, Issue 11
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- In-vehicle electronic control unit (ECU) communications generally count on private protocols (defined by the manufacturers) under controller area network (CAN) specifications. Parsing the private protocols for a particular vehicle model would be of great significance in testing the vehicle’s resistance to various attacks, as well as in designing efficient intrusion detection and prevention systems (IDPS) for the vehicle. This paper proposes a suite of methods for parsing ECU private protocols on in-vehicle CAN network. These methods include an algorithm for parsing discrete variables (encoded in a discrete manner, e.g., gear state), an algorithm for parsing continuous variables (encoded in a continuous manner, e.g., vehicle speed), and a parsing method based on upper-layer protocols (e.g., OBD and UDS). Extensive verifications have been performed on five different brands of automobiles (including an electric vehicle) to demonstrate the universality and the correctness of these parsing algorithms. Some parsing tips and experiences are also presented. Our continuous-variables parsing algorithm could run in a semi-automatic manner and the parsing algorithm from upper-layer protocols could execute in a completely automatic manner. One might view the results obtained by our parsing algorithms as an important indicator of penetration testing on in-vehicle CAN network.
- Subjects :
- business.product_category
Correctness
Computer science
Science
QC1-999
General Physics and Astronomy
computer.software_genre
Astrophysics
Article
CAN bus
Electric vehicle
private protocols
In vehicle
Electronic control unit
Parsing
CAN
Suite
Physics
ECU
QB460-466
Computer engineering
State (computer science)
in-vehicle network
business
computer
Subjects
Details
- Language :
- English
- ISSN :
- 10994300
- Volume :
- 23
- Issue :
- 1495
- Database :
- OpenAIRE
- Journal :
- Entropy
- Accession number :
- edsair.doi.dedup.....9522979de633ea9911f92230c0513082