Leveraging Semi-supervised Learning for Enhancing Anomaly-based IDS in Automotive Ethernet

Jia Liu, Wenjun Fan^*, Yifan Dai, Eng Gee Lim, Zhoujin Pan, Alexei Lisitsa

^*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

Original language	English
Title of host publication	23rd IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
Publication status	Accepted/In press - 1 Nov 2024

Cite this

@inproceedings{a75f05f2f49243778a0e13cb767ec509,

title = "Leveraging Semi-supervised Learning for Enhancing Anomaly-based IDS in Automotive Ethernet",

author = "Jia Liu and Wenjun Fan and Yifan Dai and Lim, {Eng Gee} and Zhoujin Pan and Alexei Lisitsa",

year = "2024",

month = nov,

day = "1",

language = "English",

booktitle = "23rd IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)",

}

TY - GEN

T1 - Leveraging Semi-supervised Learning for Enhancing Anomaly-based IDS in Automotive Ethernet

AU - Liu, Jia

AU - Fan, Wenjun

AU - Dai, Yifan

AU - Lim, Eng Gee

AU - Pan, Zhoujin

AU - Lisitsa, Alexei

PY - 2024/11/1

Y1 - 2024/11/1

M3 - Conference Proceeding

BT - 23rd IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

ER -