ML-FSID-FIS: A Multi-Level Feature Selection and Fuzzy Inference System for Intrusion Detection in IoMT.
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| Title: | ML-FSID-FIS: A Multi-Level Feature Selection and Fuzzy Inference System for Intrusion Detection in IoMT. |
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| Authors: | Balhareth G; Department of Electrical Engineering & Computer Science, Florida Atlantic University, 777 Glades Road, Boca Raton, FL 33431, USA.; Department of Information Systems, College of Computer Science and Information System, Najran University, Najran 61441, Saudi Arabia., Ilyas M; Department of Electrical Engineering & Computer Science, Florida Atlantic University, 777 Glades Road, Boca Raton, FL 33431, USA., Alkanjr B; Department of Electrical Engineering & Computer Science, Florida Atlantic University, 777 Glades Road, Boca Raton, FL 33431, USA.; Department of Computer Science, College of Computer and Information Science, Jouf University, Sakaka 72388, Saudi Arabia. |
| Source: | Sensors (Basel, Switzerland) [Sensors (Basel)] 2026 Apr 18; Vol. 26 (8). Date of Electronic Publication: 2026 Apr 18. |
| Publication Type: | Journal Article |
| 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 |
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| DOI: | 10.3390/s26082501 |
