ACO-Enhanced DCNN-BiLSTM framework for intrusion detection in smart Consumer Electronics network.

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Bibliographic Details
Title: ACO-Enhanced DCNN-BiLSTM framework for intrusion detection in smart Consumer Electronics network.
Authors: Chandroth J; Department of AI and software, Gachon University, Seongnam, South Korea., Stoian G; Department of Computer Science, University of Craiova, Craiova, Romania., Hemanth DJ; Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India.
Source: PloS one [PLoS One] 2026 Sep 30; Vol. 21 (9), pp. e0342949. Date of Electronic Publication: 2026 Sep 30 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0342949