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Energy-Efficient and Privacy-Preserving Intrusion Detection in Edge-Based Networks Using Federated Self-Supervised Learning
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| Published in: | International Journal of Wireless and Microwave Technologies |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1868553620977352704 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | International Journal of Wireless and Microwave Technologies |
| description | |
| discipline_display | Computer Science |
| discipline_facet | Computer Science |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:78433 |
| institution | FRELIP |
| journal_source_facet | International Journal of Wireless and Microwave Technologies |
| last_indexed | 2026-06-20T21:39:56.259Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Energy-Efficient and Privacy-Preserving Intrusion Detection in Edge-Based Networks Using Federated Self-Supervised Learning Computer Science General Computer Science |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Computer Science General Computer Science |
| subject_facet | Computer Science General Computer Science |
| title | Energy-Efficient and Privacy-Preserving Intrusion Detection in Edge-Based Networks Using Federated Self-Supervised Learning |
| title_alt | Detección de intrusiones eficiente en energía y preservadora de la privacidad en redes de borde mediante aprendizaje autosupervisado federado Détection d'intrusion économe en énergie et préservant la confidentialité dans les réseaux périphériques à l'aide de l'apprentissage auto-supervisé fédéré Detecção de Intrusão com Eficiência Energética e Preservação de Privacidade em Redes Baseadas em Borda Usando Aprendizado Auto-Supervisionado Federado |
| title_auth | Energy-Efficient and Privacy-Preserving Intrusion Detection in Edge-Based Networks Using Federated Self-Supervised Learning |
| title_es_txt | Detección de intrusiones eficiente en energía y preservadora de la privacidad en redes de borde mediante aprendizaje autosupervisado federado |
| title_fr_txt | Détection d'intrusion économe en énergie et préservant la confidentialité dans les réseaux périphériques à l'aide de l'apprentissage auto-supervisé fédéré |
| title_full | Energy-Efficient and Privacy-Preserving Intrusion Detection in Edge-Based Networks Using Federated Self-Supervised Learning |
| title_fullStr | Energy-Efficient and Privacy-Preserving Intrusion Detection in Edge-Based Networks Using Federated Self-Supervised Learning |
| title_full_unstemmed | Energy-Efficient and Privacy-Preserving Intrusion Detection in Edge-Based Networks Using Federated Self-Supervised Learning |
| title_pt_txt | Detecção de Intrusão com Eficiência Energética e Preservação de Privacidade em Redes Baseadas em Borda Usando Aprendizado Auto-Supervisionado Federado |
| title_short | Energy-Efficient and Privacy-Preserving Intrusion Detection in Edge-Based Networks Using Federated Self-Supervised Learning |
| title_sort | energy-efficient and privacy-preserving intrusion detection in edge-based networks using federated self-supervised learning |
| topic | Computer Science General Computer Science |
| url | https://www.mecs-press.org/ijwmt/ijwmt-v16-n3/v16n3-17.html |