SOME/IP Intrusion Detection System Using Machine Learningopen access
- Authors
- Heo, Jaewoong; Kim, Hyunghoon; Jo, Hyo Jin
- Issue Date
- Nov-2022
- Publisher
- IEICE-INST ELECTRONICS INFORMATION COMMUNICATION ENGINEERS
- Keywords
- Automotive Ethernet; SOME/IP; intrusion detection system
- Citation
- IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E105D, no.11, pp.1923 - 1924
- Journal Title
- IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
- Volume
- E105D
- Number
- 11
- Start Page
- 1923
- End Page
- 1924
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/43412
- DOI
- 10.1587/transinf.2022NGL0007
- ISSN
- 0916-8532
- Abstract
- With the development of in-vehicle network technologies, Automotive Ethernet is being applied to modern vehicles. Scalable service -Oriented MiddlewarE over IP (SOME/IP) is an automotive middleware solution that is used for communications of the infotainment domain as well as that of other domains in the vehicle. However, since SOME/IP lacks security, it is vulnerable to a variety of network-based attacks. In this paper, we introduce a new type of intrusion detection system (IDS) leveraging on SOME/IP packet's header information and packet reception time to deal with SOME/IP related network attacks.
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