Intrusion detection for high-speed railways based on unsupervised anomaly detection models
Crossref DOI link: https://doi.org/10.1007/s10489-022-03911-8
Published Online: 2022-07-21
Published Print: 2023-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Wang, Yao http://orcid.org/0000-0002-8288-9549
Yu, Zujun
Zhu, Liqiang
Funding for this research was provided by:
National Natural Science Foundation of China (52072026)
Text and Data Mining valid from 2022-07-21
Version of Record valid from 2022-07-21
Article History
Accepted: 18 June 2022
First Online: 21 July 2022