Optimized feature selection and zero-parameter channel attention BiLSTM for RPL-attack classification in IoT networks.

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Bibliographic Details
Title: Optimized feature selection and zero-parameter channel attention BiLSTM for RPL-attack classification in IoT networks.
Authors: Unnam SR; School of Computer Science and Engineering, VIT-A.P. University, Amaravati, Andra Pradesh, India., Shaik K; School of Computer Science and Engineering, VIT-A.P. University, Amaravati, Andra Pradesh, India.
Source: PloS one [PLoS One] 2026 Jun 18; Vol. 21 (6), pp. e0350844. Date of Electronic Publication: 2026 Jun 18 (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.0350844