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Nuclear Science and Engineering Volume 196, 2022 - Issue 5
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Technical Papers

Real-Time Monitoring for Detection of Adversarial Subtle Process Variations

Yeni Lia Purdue University, School of Nuclear Engineering, 205 Gates Road, FLEX Laboratory, West Lafayette, Indiana47906Correspondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-6541-4963
ORCID Icon,
Arvind Sundarama Purdue University, School of Nuclear Engineering, 205 Gates Road, FLEX Laboratory, West Lafayette, Indiana47906
,
Hany S. Abdel-Khalika Purdue University, School of Nuclear Engineering, 205 Gates Road, FLEX Laboratory, West Lafayette, Indiana47906ORCID Iconhttps://orcid.org/0000-0002-7078-5611
ORCID Icon &
Paul W. Talbotb Idaho National Laboratory, 1955 North Fremont Avenue, Idaho Falls, Idaho83415ORCID Iconhttps://orcid.org/0000-0002-9672-9044
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Pages 544-567 | Received 19 Apr 2021, Accepted 19 Oct 2021, Published online: 04 Jan 2022

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Read on this site (1)

Arvind Sundaram, Hany S. Abdel-Khalik & Mohammad G. Abdo. (2023) Preventing Reverse Engineering of Critical Industrial Data with DIOD. Nuclear Technology 209:1, pages 37-52.
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Articles from other publishers (3)

Tianhao Zhang, Qianqian Jia, Chao Guo & Xiaojin Huang. (2023) Abnormal Event Detection in Nuclear Power Plants via Attention Networks. Energies 16:18, pages 6745.
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Abiodun Ayodeji, Mokhtar Mohamed, Li Li, Antonio Di Buono, Iestyn Pierce & Hafiz Ahmed. (2023) Cyber security in the nuclear industry: A closer look at digital control systems, networks and human factors. Progress in Nuclear Energy 161, pages 104738.
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Yeni Li, Hany S. Abdel-Khalik, Ahmad Al Rashdan & Jacob Farber. (2023) Feature extraction for subtle anomaly detection using semi-supervised learning. Annals of Nuclear Energy 181, pages 109503.
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