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Enhancing IoT intrusion detection with genetic algorithm-optimized convolutional neural networks.

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Title: Enhancing IoT intrusion detection with genetic algorithm-optimized convolutional neural networks.
Authors: Hakiki, Racha Ikram1, rachaikram.hakiki@univ-usto.dz, Azerine, Abdennour2, abdennourazerine@gmail.com, Tlemsani, Redouane3, redouane.tlemsani@univ-usto.dz, Golabi, Mahmoud2, mahmoud.golabi@uha.fr, Idoumghar, Lhassane2, lhassane.idoumghar@uha.fr
Source: Journal of Supercomputing; Jul2025, Vol. 81 Issue 11, p1-34, 34p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 186945427
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PubType: Academic Journal
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      – Type: doi
        Value: 10.1007/s11227-025-07626-8
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      – Code: eng
        Text: English
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        PageCount: 34
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      – TitleFull: Enhancing IoT intrusion detection with genetic algorithm-optimized convolutional neural networks.
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            NameFull: Hakiki, Racha Ikram
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            – D: 25
              M: 07
              Text: Jul2025
              Type: published
              Y: 2025
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