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Green AI architectures:Navigating the security-sustainability paradox in critical infrastructure protection

JungMin Lee Amir Saman Tayerani Charmchi Fatemeh Ghobadi Myeong In Kim

环境科学与生态技术（英文）2026，Vol.31Issue(3)：56-74,19.

环境科学与生态技术（英文）2026，Vol.31Issue(3)：56-74,19.DOI:10.1016/j.ese.2026.100697

Green AI architectures:Navigating the security-sustainability paradox in critical infrastructure protection

JungMin Lee ¹Amir Saman Tayerani Charmchi ²Fatemeh Ghobadi ²Myeong In Kim¹

作者信息

1. Land and Housing Research Institute,Smart Climate Environment Research Center,Daejeon,Republic of Korea
2. Digital Twin and Artificial Intelligence Research Lab,Digital Integration Department,Onpoom Corp.R&D Center,Seoul,07222,Republic of Korea
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摘要

关键词

Cost-effectiveness analysis/Cyber-physical security/Green AI/Reconstruction-based anomaly detection/Sustainable computing

Key words

Cost-effectiveness analysis/Cyber-physical security/Green AI/Reconstruction-based anomaly detection/Sustainable computing

引用本文复制引用

JungMin Lee,Amir Saman Tayerani Charmchi,Fatemeh Ghobadi,Myeong In Kim..Green AI architectures:Navigating the security-sustainability paradox in critical infrastructure protection[J].环境科学与生态技术（英文）,2026,31(3):56-74,19.

基金项目

This work was supported by a National Research Foundation of Korea(NRF)grant funded by the Korean Government(MSIT)(No.NRF-RS-2023-00259995). （NRF）

环境科学与生态技术（英文）

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