FedLC-Trans: privacy-preserving CNN-Transformer fusion for resilient IoMT intrusion detection.
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| Title: | FedLC-Trans: privacy-preserving CNN-Transformer fusion for resilient IoMT intrusion detection. |
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| Authors: | Gong Z; School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China.; Key Laboratory of Data and Model Security of Hunan Province for Higher Education Institutions (Hunan University of Information Technology), Changsha, China., Xiong N; School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China.; Department of Computer Science, Southern New Hampshire University, Manchester, NH, United States., Zhao C; School of Computer Science and Engineering, Hunan University of Information Technology, Changsha, China., Chen J; School of Computer Science and Engineering, Hunan University of Information Technology, Changsha, China., Ammar O; School of Information Science and Engineering, Shaoyang University, Shaoyang, Hunan, China., Shaikh JA; School of Computer Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China., Alkanhel RI; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia., Al-Bahri M; Faculty of Computing and IT, Sohar University, Sohar, Oman., Muthanna M; Faculty of Computing and IT, Sohar University, Sohar, Oman. |
| Source: | Frontiers in public health [Front Public Health] 2026 Sep 25; Vol. 14, pp. 1924540. Date of Electronic Publication: 2026 Sep 25 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2296-2565 |
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| DOI: | 10.3389/fpubh.2026.1924540 |
