A Comparative Study of Supervised and Semi-Supervised Machine Learning for Intrusion Detection in BLE-Enabled IoMT Systems

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SPIRE - Sciences Po Institutional REpository
Published
2025-12-12
Primary Topic
Network Security and Intrusion Detection
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article
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article

A Comparative Study of Supervised and Semi-Supervised Machine Learning for Intrusion Detection in BLE-Enabled IoMT Systems

Omar Moussaoui, Mohammed Yacoubi, C. Drocourt
SPIRE - Sciences Po Institutional REpository
Network Security and Intrusion Detection
article

A Comparative Study of Supervised and Semi-Supervised Machine Learning for Intrusion Detection in BLE-Enabled IoMT Systems

Omar Moussaoui, Mohammed Yacoubi, C. Drocourt
article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
Mohamed I University (MA), Université de Picardie Jules Verne (FR), Premier University (BD)
Openalex Percentile: Top 22%
Network Security and Intrusion Detection
OpenAlex
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A Comparative Study of Supervised and Semi-Supervised Machine Learning for Intrusion Detection in BLE-Enabled IoMT Systems — Omar Moussaoui, Mohammed Yacoubi, et al. · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS