Crossmark

An efficient vehicular network anomaly detection framework based on encoder and dynamic threshold adjustment

Published Online: 2025-08-12

Published Print: 2025-09

Authors

Xu, Huibin

Fang, Long

Dong, Jingnan

Shi, Jishui
Funding

Funding for this research was provided by:

Huzhou Science and Technology Bureau of Zhejiang Province (2024YZ08, 2024YZ08)
License Information

Text and Data Mining valid from 2025-08-12

Version of Record valid from 2025-08-12
More Information

Article History

Received: 20 February 2025

Accepted: 5 August 2025

First Online: 12 August 2025

Declarations

:

: The authors declare no competing interests.

Document is current