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                <identifier>oai:data.mendeley.com/tsgmrj9gf9.1</identifier>
                <datestamp>2026-09-08T07:14:40Z</datestamp>
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    <dc:creator>Sirhan, Najem</dc:creator>
    <dc:title>Code and artifacts for: Mapping the Aggregate–Worst-Class Trade-off in Feature Selection for Multi-Attack IoT Intrusion Detection: A Bi-Objective Evolutionary Study on TON_IoT, with an Identifier-Shortcut Ablation</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This repository contains the code that reproduces every table and figure in the paper, plus the fixed data split used (splits.json). The two datasets are not redistributed here (see licensing note below); download them from their original sources using the links and checksums provided.

Every number in the paper is produced by the code above from the real datasets; nothing is hand-entered. Where a claimed effect was not statistically reliable (e.g. the wrapper&apos;s rare-class advantage under corrected testing), the code reports it as such.</dc:description>
    <dc:subject>Computer Science</dc:subject>
    <dc:subject>Artificial Intelligence</dc:subject>
    <dc:subject>Computer Science Applications</dc:subject>
    <dc:subject>Cybersecurity</dc:subject>
    <dc:subject>Machine Learning</dc:subject>
    <dc:subject>Information Security</dc:subject>
    <dc:subject>Internet of Things</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/tsgmrj9gf9.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/tsgmrj9gf9.1</dc:identifier>
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    <dc:date>2026-09-08T07:14:40Z</dc:date>
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