A hybrid deep learning and residual connection-based architecture for intrusion detection in autonomous vehicles.
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| Title: | A hybrid deep learning and residual connection-based architecture for intrusion detection in autonomous vehicles. |
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| Authors: | Kibriya H; Department of Computer Science, Air University, Islamabad, Pakistan., Siddiqa A; Department of Computer Science, University of Wah, Wah Cantt, Pakistan., Alahmari S; Department of Computer Science, Applied College, Northern Border University, Arar, Saudi Arabia., Khan WZ; Department of Computer Science, University of Wah, Wah Cantt, Pakistan., Altamimi SN; Department of Information Systems, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia., Khan AUR; College of Engineering and IT, Ajman University, UAE. |
| Source: | PloS one [PLoS One] 2026 Mar 19; Vol. 21 (3), pp. e0338079. Date of Electronic Publication: 2026 Mar 19 (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 |
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| DOI: | 10.1371/journal.pone.0338079 |
