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ADIMPL: a dynamic, real-time and robustness attack detection model for industrial cyber-physical systems based on improved meta pseudo labels

Published Online: 2025-02-28

Published Print: 2025-05

Authors

Zhang, Bohan

Zhang, Pan

Wang, Zhiwen https://orcid.org/0000-0002-5425-0705
Lv, Jiaqi

Miao, Wei
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (62363024, 62263019)

Science and Technology Program of Gansu Province (21ZD4GA028)
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Text and Data Mining valid from 2025-02-28

Version of Record valid from 2025-02-28
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Article History

Accepted: 14 February 2025

First Online: 28 February 2025

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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