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SOME/IP Intrusion Detection System Using Machine Learningopen access

Authors
Heo, JaewoongKim, HyunghoonJo, 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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