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Federated XAI IDS: An Explainable and Safeguarding Privacy Approach to Detect Intrusion Combining Fe...

Federated XAI IDS: An Explainable and Safeguarding Privacy Approach to Detect Intrusion Combining Fe...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4444c37775a140a09eef1274c6b13fd3

Federated XAI IDS: An Explainable and Safeguarding Privacy Approach to Detect Intrusion Combining Federated Learning and SHAP

About this item

Full title

Federated XAI IDS: An Explainable and Safeguarding Privacy Approach to Detect Intrusion Combining Federated Learning and SHAP

Publisher

Basel: MDPI AG

Journal title

Future internet, 2025-06, Vol.17 (6), p.234

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

An intrusion detection system (IDS) is a crucial element in cyber security concerns. IDS is a safeguarding module that is designed to identify unauthorized activities in network environments. The importance of constructing IDSs has never been this significant with the growing number of attacks on network layers. This research work was intended to d...

Alternative Titles

Full title

Federated XAI IDS: An Explainable and Safeguarding Privacy Approach to Detect Intrusion Combining Federated Learning and SHAP

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_4444c37775a140a09eef1274c6b13fd3

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4444c37775a140a09eef1274c6b13fd3

Other Identifiers

ISSN

1999-5903

E-ISSN

1999-5903

DOI

10.3390/fi17060234

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