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A Comparative Study of Decision Tree, RNNs and CNNs for Detection of False Data Injection Attacks in Cyber‐Physical Power Systems

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Bibliographic Details
Published in:IET Cyber-Physical Systems : Theory & Applications
Format: Online Article RSS Article
Published: 2026
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container_title IET Cyber-Physical Systems : Theory & Applications
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
RSS Article
genre Journal Article
id rss_article:31173
institution FRELIP
journal_source_facet IET Cyber-Physical Systems : Theory & Applications
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle A Comparative Study of Decision Tree, RNNs and CNNs for Detection of False Data Injection Attacks in Cyber‐Physical Power Systems
Electronics
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
sub_discipline_display Technology & Engineering — Aerospace & Applied Tech
sub_discipline_facet Technology & Engineering — Aerospace & Applied Tech
subject_display Electronics
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
Electronics
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
subject_facet Electronics
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
title A Comparative Study of Decision Tree, RNNs and CNNs for Detection of False Data Injection Attacks in Cyber‐Physical Power Systems
title_auth A Comparative Study of Decision Tree, RNNs and CNNs for Detection of False Data Injection Attacks in Cyber‐Physical Power Systems
title_full A Comparative Study of Decision Tree, RNNs and CNNs for Detection of False Data Injection Attacks in Cyber‐Physical Power Systems
title_fullStr A Comparative Study of Decision Tree, RNNs and CNNs for Detection of False Data Injection Attacks in Cyber‐Physical Power Systems
title_full_unstemmed A Comparative Study of Decision Tree, RNNs and CNNs for Detection of False Data Injection Attacks in Cyber‐Physical Power Systems
title_short A Comparative Study of Decision Tree, RNNs and CNNs for Detection of False Data Injection Attacks in Cyber‐Physical Power Systems
title_sort a comparative study of decision tree, rnns and cnns for detection of false data injection attacks in cyber‐physical power systems
topic Electronics
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
url https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cps2.70047?af=R