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BFLIDS: Blockchain-Driven Federated Learning for Intrusion Detection in IoMT Networks

BFLIDS: Blockchain-Driven Federated Learning for Intrusion Detection in IoMT Networks

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5086927e1108482eb1e9c3f27b1fea56

BFLIDS: Blockchain-Driven Federated Learning for Intrusion Detection in IoMT Networks

About this item

Full title

BFLIDS: Blockchain-Driven Federated Learning for Intrusion Detection in IoMT Networks

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2024-07, Vol.24 (14), p.4591

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

The Internet of Medical Things (IoMT) has significantly advanced healthcare, but it has also brought about critical security challenges. Traditional security solutions struggle to keep pace with the dynamic and interconnected nature of IoMT systems. Machine learning (ML)-based Intrusion Detection Systems (IDS) have been increasingly adopted to coun...

Alternative Titles

Full title

BFLIDS: Blockchain-Driven Federated Learning for Intrusion Detection in IoMT Networks

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_5086927e1108482eb1e9c3f27b1fea56

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5086927e1108482eb1e9c3f27b1fea56

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s24144591

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