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Lightweight Multimodal Intrusion Detection Method for 6G-Oriented IoT Networks Based on Unsupervised Feature Extraction and Multi-Agent Self-Attention Mechanism
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| Published in: | IEEE Open Journal of the Communications Society |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1869753838934687744 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | IEEE Open Journal of the Communications Society |
| description | |
| discipline_display | Computer Science |
| discipline_facet | Computer Science |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:99482 |
| institution | FRELIP |
| journal_source_facet | IEEE Open Journal of the Communications Society |
| last_indexed | 2026-07-04T03:36:54.069Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Lightweight Multimodal Intrusion Detection Method for 6G-Oriented IoT Networks Based on Unsupervised Feature Extraction and Multi-Agent Self-Attention Mechanism 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 | Lightweight Multimodal Intrusion Detection Method for 6G-Oriented IoT Networks Based on Unsupervised Feature Extraction and Multi-Agent Self-Attention Mechanism |
| title_alt | Método ligero de detección de intrusiones multimodales para redes IoT orientadas a 6G basado en extracción de características no supervisada y mecanismo de autoatención multiagente Méthode légère de détection d'intrusions multimodale pour les réseaux IdO orientés 6G basée sur l'extraction non supervisée de caractéristiques et le mécanisme d'auto-attention multi-agent Método leve de detecção de intrusão multimodal para redes IoT orientadas a 6G baseado em extração de características não supervisionada e mecanismo de autoatenção multiagente |
| title_auth | Lightweight Multimodal Intrusion Detection Method for 6G-Oriented IoT Networks Based on Unsupervised Feature Extraction and Multi-Agent Self-Attention Mechanism |
| title_es_txt | Método ligero de detección de intrusiones multimodales para redes IoT orientadas a 6G basado en extracción de características no supervisada y mecanismo de autoatención multiagente |
| title_fr_txt | Méthode légère de détection d'intrusions multimodale pour les réseaux IdO orientés 6G basée sur l'extraction non supervisée de caractéristiques et le mécanisme d'auto-attention multi-agent |
| title_full | Lightweight Multimodal Intrusion Detection Method for 6G-Oriented IoT Networks Based on Unsupervised Feature Extraction and Multi-Agent Self-Attention Mechanism |
| title_fullStr | Lightweight Multimodal Intrusion Detection Method for 6G-Oriented IoT Networks Based on Unsupervised Feature Extraction and Multi-Agent Self-Attention Mechanism |
| title_full_unstemmed | Lightweight Multimodal Intrusion Detection Method for 6G-Oriented IoT Networks Based on Unsupervised Feature Extraction and Multi-Agent Self-Attention Mechanism |
| title_pt_txt | Método leve de detecção de intrusão multimodal para redes IoT orientadas a 6G baseado em extração de características não supervisionada e mecanismo de autoatenção multiagente |
| title_short | Lightweight Multimodal Intrusion Detection Method for 6G-Oriented IoT Networks Based on Unsupervised Feature Extraction and Multi-Agent Self-Attention Mechanism |
| title_sort | lightweight multimodal intrusion detection method for 6g-oriented iot networks based on unsupervised feature extraction and multi-agent self-attention mechanism |
| topic | Computer Science General Computer Science |
| url | http://ieeexplore.ieee.org/document/11558428 |