Intrusion Detection Datasets for IIoT and ICS: A Taxonomic Review with a Decision-Aid Scoring Rubric.

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Title: Intrusion Detection Datasets for IIoT and ICS: A Taxonomic Review with a Decision-Aid Scoring Rubric.
Authors: Termanini A; Department of Electrical and Computer Engineering, Sultan Qaboos University, Al Khodh 123, Oman., Bourdoucen H; Department of Electrical and Computer Engineering, Sultan Qaboos University, Al Khodh 123, Oman., Al-Abri D; Department of Electrical and Computer Engineering, Sultan Qaboos University, Al Khodh 123, Oman., Al Maashri A; Department of Electrical and Computer Engineering, Sultan Qaboos University, Al Khodh 123, Oman.
Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2026 Jun 27; Vol. 26 (13). Date of Electronic Publication: 2026 Jun 27.
Publication Type: Journal Article; Review
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1424-8220
DOI:10.3390/s26134099