Abstract
Controller Area Network (CAN) is a bus communication protocol which defines a standard for reliable and efficient transmission between in-vehicle nodes in real-time. Since CAN message is broadcast from a transmitter to the other nodes on a bus, it does not contain information about the source and destination address for validation. Therefore, an attacker can easily inject any message to lead system malfunctions. In this paper, we propose an intrusion detection method based on the analysis of the offset ratio and time interval between request and response messages in CAN. If a remote frame having a particular identifier is transmitted, a receiver node should respond to the remote frame immediately. In attack-free state, each node has a fixed response offset ratio and time interval while these values vary in attack state. Using this property, we can measure the response performance of the existing nodes based on the offset ratio and time interval between request and response messages. As a result, our methodology can detect intrusions by monitoring offset ratio and time interval, and it allows quick intrusion detection with high accuracy.
Original language | English |
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Title of host publication | Proceedings - 2017 15th Annual Conference on Privacy, Security and Trust, PST 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 57-66 |
Number of pages | 10 |
ISBN (Electronic) | 9781538624876 |
DOIs | |
Publication status | Published - 2018 Sept 28 |
Event | 15th Annual Conference on Privacy, Security and Trust, PST 2017 - Calgary, Canada Duration: 2017 Aug 27 → 2017 Aug 29 |
Publication series
Name | Proceedings - 2017 15th Annual Conference on Privacy, Security and Trust, PST 2017 |
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Other
Other | 15th Annual Conference on Privacy, Security and Trust, PST 2017 |
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Country/Territory | Canada |
City | Calgary |
Period | 17/8/27 → 17/8/29 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
ASJC Scopus subject areas
- Information Systems and Management
- Computer Networks and Communications
- Safety, Risk, Reliability and Quality