Context-Aware Intrusion Detection in Vehicular Communication Networks: Enhanced Attack Modeling and Dataset
Vehicular Communication Networks (VCNs) are essential for autonomous vehicles and Intelligent Transportation Systems but face challenges in security vulnerabilities and data sparsity. Traditional attack models inadequately represent VCN dynamics, weakening threat detection, while existing datasets l...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Taylor & Francis Group
2025-12-01
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| シリーズ: | Applied Artificial Intelligence |
| オンライン･アクセス: | https://www.tandfonline.com/doi/10.1080/08839514.2025.2538453 |
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