A high performance hybrid LSTM CNN secure architecture for IoT environments using deep learning.
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| Title: | A high performance hybrid LSTM CNN secure architecture for IoT environments using deep learning. |
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| Authors: | Sinha P; Department of Electronics and Communication, University of Allahabad, Prayag Raj, Uttar Pradesh, India., Sahu D; SCSET, Bennett University, Plot Nos 8, 11, TechZone 2, Greater Noida, Uttar Pradesh, 201310, India., Prakash S; Department of Electronics and Communication, University of Allahabad, Prayag Raj, Uttar Pradesh, India. shivprakash@allduniv.ac.in., Yang T; Pontypridd, University of South Wales, Newport, UK., Rathore RS; Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff, UK. rsrathore@cardiffmet.ac.uk., Pandey VK; Department of Electronics and Communication, University of Allahabad, Prayag Raj, Uttar Pradesh, India. |
| Source: | Scientific reports [Sci Rep] 2025 Mar 20; Vol. 15 (1), pp. 9684. Date of Electronic Publication: 2025 Mar 20. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-025-94500-5 |
