<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>16(1)</volume><submitter>Dharini N</submitter><journal>Scientific reports</journal><pagination>7763</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12949231</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Efficient detection of intrusions in TON-IoT dataset using hybrid feature selection approach.</pubmed_title><pmcid>PMC12949231</pmcid><pubmed_authors>Janani VS</pubmed_authors><pubmed_authors>Katiravan J</pubmed_authors><pubmed_authors>Dharini N</pubmed_authors></additional><is_claimable>false</is_claimable><name>Efficient detection of intrusions in TON-IoT dataset using hybrid feature selection approach.</name><description/><dates><release>2026-01-01T00:00:00Z</release><publication>2026 Feb</publication><modification>2026-07-12T03:17:24.051Z</modification><creation>2026-07-12T03:11:24.663Z</creation></dates><accession>S-EPMC12949231</accession><cross_references><pubmed>41651911</pubmed><doi>10.1038/s41598-026-37834-y</doi></cross_references></HashMap>